The Podlove project once again leads the way to improve the experience and the way we interact with knowledge and thoughts. With the most current announcement and introduction of transcription-support for podcasts. Click on it right now and try it yourself.
Fulltext-search. Listening to podcasts by reading them. This-is-amazing!
Transcripts are coming
Transcripts are an incredibly desirable thing to have for podcasts: they allow searching for specific parts, increase searchability by search sites when presented properly and they increase the accessibility of audio content significantly too.
However, transcripts have been considerably difficult to be created and used. Manually created transcripts are costly in terms of time and money and even if you spend the money there has been a lack of technical standards for storing and integrating transcripts into websites in a defined way.
This is now slowly changing: more and more automated speech-to-text systems are becoming available at reasonable costs and they are creating ever better transcripts with more and more languages being supported. Still, automatic transcripts trail manually created transcripts in terms of accuracy, punctuation and so on but they are increasingly useful when they are primarily used for improving search results or helping you with your internal research when trying to find content in your older episodes.
New services are also coming up to deal with these problems by allowing users to quickly build on automatic transcripts and improve them manually in an assisted fashion. We will soon see a landscape of tools and services that will make creating transcripts easy and cheap enough for more and more podcasters so it’s time to come up with a good integration.
Last but not least, the WebVTT file format has become a de-facto common denominator for passing transcripts along, supporting time codes, speaker identification and a rudimentary set of meta data. While not perfect it’s enough to get a transcript infrastructure up and running and Podlove is leading the way.
I joy! I just found out that James Euringer had produced a new album. You do not know Jimmy Urine?
Let’s start the introduction with the description of his current gig:
EURINGER is a counter-culture, surreal, psychedelic, art house, avant-garde, possibly posthumous concept project from Jimmy Urine of Mindless Self Indulgence fame. Featuring guest vocals from Grimes, Serj Tankian (System Of A Down), Gerard Way (My Chemical Romance) and Chantal Claret (Morningwood) – and also staring Jimmy’s Mom and Dad for good measure! – the record is one long song/musical/concerto, as if an underground movie was made for your ears. “I wanted it to sound as if Depeche Mode hired J. Dilla and DJ Premier to drop loops while Frank Zappa produced, and then I came in and shit all over it,“ said Jimmy.
Pungenday 70 Discord, 2784 YOLD (May 23, 1618 AD) Prague: a few royal officials were thrown out a window of Hradcany Castle by some noblemen, but survived the fall by landing in a cart full of manure. The date for this event falls on an extremely Illuminated day of the Gregorian Calendar, 5/23.
In 2012 I’ve experienced streamed game play for the first time. I was a beta-user of the OnLive service which created a bit of fuzz back then.
Last week Google had announced to step into the game streaming business as well. They’ve announce Google Stadia as the Google powered game streaming platform. It would come with it’s own controller.
And this controller is the most interesting bit. We have seen video live streaming. We have seen and played streamed games. But every time we needed some piece of software or hardware that brought screen, controller and player together.
The Google Stadia controllers now do not connect to the screen in front of you. The screen, by all it knows, just shows a low-latency video/audio stream.
The controller connects to your wifi and directly to the game session. Everything you input with the controller will be directly sent to the Google Stadia session in a Google datacenter. No dedicated console hardware in between. And this will make a huge difference. Because all of a sudden the screen only is a screen. And the controller will connect to the “cloud-console” far-far away. As if it was sitting right below the screen. This will make a huge difference!
Learning a new language is full of discoveries along the way!
As I am spending more time on learning the Japanese language the more different things seem to unlock. One of those things is the apparent fun Japanese companies have with puns/slight writing mismatches.
Like this one – I think (as I can not be 100% sure yet…learning!):
This is an advertisement in a supermarket for a laundry detergent. It is themed to an Anime called “Attack on Titan” – properly because the detergents name is Attack. So when I tried to make sense of the text I first read it wrong, of course.
Let’s look at it step-by-step:
I first started reading the Hiragana portion and make sense of it. There I made my first mistake which is to misread the first second character. For some reason my brain went for わ (wa) when I should have gone for れ (re).
Then I typed away further and came to the Kanji. I read a 活 (katsu) when it in fact was a 汚 (kitanai).
Given that you’ve typed those into Google Translate you will get very interesting results. I had a good laugh by then:
I am not sure if this is on purpose or not – as I do not yet know if I am just making a mess on this or if this is intentionally done so that, given your level of Japanese reading and attention-spent reading it, you get very different and funny results.
Any Japanese readers that can add some explanations? Am I far off with the thoughts?
Since a couple of months we are trying harder to learn a foreign language.
And as we excepted it is very hard to get a proper grasp on speaking the language. Especially since it is a very different language to our mother tongue.
And while comfortably interacting with digital assistants around the house every day in english and german the thought came up: why don’t these digital assistants help with foreign language listening and speaking training?
I mean Google Assistant answers questions in the language you have asked them. Siri and Alexa need to know upfront in which language you are going to ask questions. But at least Alexa can translate between languages…
But with all seriousness: Why do we not already have the obvious killer feature delivered? Everyone could already have a personal language training partner…
As you might know I am living in Germany. Germany is the one country where you have some roads that are legally not having any speed limit whatsoever. If the circumstances allow to safely drive 250 km/h you are allowed to do so. It’s up to the drivers judgement.
Now as much as this is a great thing of personal freedom it also has some negative side effects on the climate.
Your car is burning a lot more fuel when driving those kind of speeds. And a lot meaning that it resembles more an exponential curve than a linear line. Rule of thumb: 2x the speed is more than 4x the consumption.
Ever once in a while people start discussing about a general speed limit for Germany – as every other country has it. Some talk about 160 km/h, some about 120 km/h.
The motivations are diverse: climate, resource use, safety, …
In any case additional limits would need to be enforced. More speed traps…
What if things would be handled differently?
How about this:
Politics would introduce a “best speed lottery”. On every street without a speed limit there would randomly be speed controls and speed traps. Those who follow the best practices of driving … Let’s say 120 km/h… Would be rewarded when randomly photographed. The reward would be a tax discount on car tax and/or gas tax and one ticket put into the countries lottery pool. Once a quarter a new electric car or similar would be given to a random winner.
What would you think would make people drive slower in their own motivation?
If you ask me for an estimate on the main sources of entertainment we use in our household I would say it’s easily 80% YouTube these days. Mainly we’re watching the content created by small independent content creators while working out or during dinner.
None of this consumption is through the YouTube website or any official clients (like the abomination pre-installed on the TV) but through a carefully handcrafted series of scripts that watch certain playlists and download everything appearing new there automatically to the house in best quality. This then can be watched at any time from any TV in the house.
The playlists that are being monitored are either those directly curated by the YouTube channels or a playlist that get’s filled directly by us from recommendations / social media links.
So here are some recommendations from our heavy-rotation list:
Some more “special ones” – Musashi-Kosugi Station is the station at my preferred home-base when in Tokyo. I like the more off-the-center vibe of Musashikosugi and this is the main station live cam there:
This would not be a complete list without this: Nippon Wandering TV is one of several channels that do one thing: walk or cycle through Japan and record it. Simple, eh? – This stuff is playing as “screensaver” on every screen in the house when not used to watch anything else:
A bit of feedback is in on the plan to revitalize this blog. Thanks for that!
I have spent some more time this weekend on getting everything a bit tidied up.
There is the archive of >3.000 posts that I plan to review and re-categorize.
There is the big number of comments that had been made in the past and that I need to come up with a plan on how to allow/disallow/deal with comments and discussions in general on this website.
There is also the design and template aspects of this website. I switched to a different template and started to adjust it so that it shall make access to the stream of posts as easy as possible. Until then you need to wait or contact me through other means. But contacting is another post for another time.
The last Ubuntu kernel update seemingly kicked two hard disks out of a ZFS raidz – sigh. With ZFS on Linux this poses an issue:
Two hard drives that previously where in this ZFS pool named “storagepool” where reassigned a completely different device-id by Linux. So /dev/sdd became /dev/sdf and so on.
ZFS uses a specific metadata structure to encode information about that hard drive and it’s relationship to storage pools. When Linux reassigned a name to the hard drive apparently some things got shaken up in ZFS’ internal structures and mappings.
The solution was these steps
export the ZFS storage pool (=taking it offline for access/turning it off)
use the zpool functionality “labelclear” to clear off the data partition table of the hard drives that got “unavailable” to the storage pool
import the ZFS storage pool back in (=taking it online for access)
using the replace functionality of zpool to replace the old drive name with the new drive name.
After poking around for about 2 hours the above strategy made the storage pool to start rebuilding (resilvering in ZFS speak). Well – learning something every day.
Bonus: I was not immediately informed of the DEGRADED state of the storage pool. That needs to change. A simple command now is run by cron-tab every hour.
I am currently in the process of reducing my presence on the usual social networks. Here is my reasoning and how I will do it.
Facebook, Twitter, Instagram and alike are seemingly at the peak of their popularity and more and more users get more and more concerned about how their data and privacy is handled by those social networks. So am I.
Now my main concern is not so much on the privacy side. I never published anything on a social network – private or public – that I would not be published or freely distributed/leak. But:
I have published content with the intention that it would be accessible to everyone now and in the future. The increasing risk is that those publishing platforms are going to fade away and thus will render the content I had published there inaccessible.
My preferred way of publishing content and making sure that it stays accessible is this website – my personal blog.
I am doing this since 2004. The exact year that Facebook was founded. And apparently this website and it’s content has a good chance of being available longer than the biggest social network at the present time.
So what does this mean? 3 basic implications:
I will become a “lurker” on the social networks. Now and in the future.
All comments and reactions I will make will be either directly in private or through my personal website publicly available and linkable.
As you can see: This is not about a cut or abstinence. I get information out of social networks, tweet message flows. But I do not put any trust in the longevity of both the platforms and the content published there.
The next steps for me will be a complete overaul of this website. Get everything up to current standards to streamline my publishing process.
Expect a lot of content and change – and: welcome to my blog!
GIST: I am looking for interested hackers who want to help me implement a neural network that improves the accuracy of bluetooth low energy based indoor location tracking.
I am currently applying the last finishing touched to a house wide bluetooth low energy based location tracking system. (All of which will be opensourced)
The system consists of 10+ ESP-32 Arduino compatible WiFi/Bluetooth system-on-a-chip. At least one per room of a house.
These modules are very low powered and have one task: They scan for BLE advertisements and send the mac and manufacturer data + the RSSI (signal strength) over WiFi into specific MQTT topics.
There is currently a server component that takes this data and calculates a probable location of a seen bluetooth low energy device (like the apple watch I am wearing…). It currently is using a calibration phase to level in on a minimum accuracy. And then simple calculation matrices to identify the most probable location.
This all is very nice but since I got interested in neural networks and KI development – and I think many others might as well – I am asking here for also interested parties to join the effort.
I do have an existing set-up as well as gigabytes of log data.
Did you know how dangerous Lithium-Polymer batteries can be? Well, if not treated well they literally burst in flames spontaneously.
So it’s quite important to follow a couple of guidelines to not burn down the house.
Since I am just about to start getting into the hobby of FPV quadcopter racing I’ve tried follow those guidelines and found that the smart house can help me tracking things.
Unfortunately there are not a lot of LiPo chargers available at reasonable price with computer interfaces to be monitored while charging/discharging the batteries. But there are a couple of workarounds I’ve found useful.
a proper case. I’ve got myself one of those “Bat-Safe” boxes that fit a couple of battery packs and help me store them safely. Even if one or many burst into flames the case is going to contain any heat and fire as good as possible and with the air / pressure filter it’ll hopefully get rid of most of the very nasty smoke (I hear). Cables go into it, so the actual charging process takes place with everything closed and latched.
the obvious smoke detector which is on it’s own connected to the overall fire alarm is mounted on top, like literally on top. It’ll send out the alert to all other smoke alarms in the house making them go beep as well as sending out high priority push notifications to everyone.
an actual camera is monitoring the box all the time calling on alerts if something is fishy (like making sound, smoke, movement of any sort). When charging is done the charger will beep – this is being caught by the cameras microphones and alerts are sent out.
the temperature inside the case is monitored all the time. The surrounding temperatures are usually pretty stable as this case is stored in my basement and as the charging goes on the temperatures inside the case will climb up and eventually level out and fall when charging / discharging is done. Now the system basically will look at the temperatures, decide wether it’s rising of falling and alerting appropriately.
There’s a couple more things to it, like keeping track of charging processes in a calendar as you can see in the flowchart behind all the above.
There are a lot of things that happen in the smart house that are connected somehow.
And the smart house knows about those events happening and might suggest, or even act upon the knowledge of them.
A simple example:
In our living room we’ve got a nice big aquarium which, depending on the time of the day and season, it is simulating it’s very own little dusk-till-dawn lightshow for the pleasure of the inhabitants.
Additionally the waterquality is improved by an air-pump generating nice bubbles and enriching the water with oxygen. But that comes a cost: When you are in the room those bubbles and the hissing sound of the inverter for the “sun” produces sounds that are distracting and disturbing to the otherwise quiet room.
Now the smart home comes to the rescue:
It detects that whenever someone is entering the room and staying for longer, or powering up the TV or listening to music. Also it will log that regularly when these things happen also the aquarium air and maybe lights are turned off. Moreso they are turned back on again when the person leaves.
These correlations are what the smart house is using to identify groups of switches, events and actions that are somehow tied together. It’ll prepare a report and will recommend actions which at the push of a button can become a routine task always being executed when certain characteristics are lining up.
And since the smart house is a machine, it can look for correlations in a lot more dimensions a human could: Date, Time, Location, Duration, Sensor and Actor values (power up TV, Temperature in room < 22, Calendar = November, Windows closed => turn on the heating).
Did you notice that most calendars and timers are missing an important feature. Some information that I personally find most interesting to have readily available.
It’s the information about how much time is left until the next appointment is coming up. Even smartwatches, which should should be jack-of-all-trades in regards of time and schedule, do not display the “time until the next event”.
Now I came across this shortcoming when I started to look for this information. No digital assistant can tell me right away how much time until a certain event is left.
But the connected house also is based upon open technologies, so one can add these kind of features easily ourselves. My major use cases for this are (a) focussed work, plan quick work-out breaks and of course making sure there’s enough time left to actually get enough sleep.
As you can see in the picture attached my watch will always show me the hours (or minutes) left until the next event. I use separate calendars for separate displays – so there’s actually one for when I plan to get up and do work-outs.
Having the hours left until something is supposed to happen at a glance – and of course being able to verbally ask through chat or voice in any room of the house how long until the next appointment gives peace of mind :-).
The Internet of Things might as well become your Internet of Money. Some feel the future to be with blockchain related things like BitCoin or Ethereum and they might be right. So long there’s also this huge field of personal finances that impacts our lives allday everyday.
And if you get to think about it money has a lot of touch points throughout all situations of our lifes and so it also impacts the smart home.
Lots of sources of information can be accessed today and can help to stay on top of the things going on as well as make concious decisions and plans for the future. To a large extend the information is even available in realtime.
– cost tracking and reporting
– alerting and goal setting
– consumption and resource management
– like fuel oil (get alerted on price changes, …)
– stock monitoring alerting
– and more advanced even automated trading
– bank account monitoring, in- and outbound transactions
– expectations and planning
After all this is about getting away from lock-in applications and freeing your personal financial data and have a all-over dashboard of transactions, plans and status.
Water! Fire! Whenever one of those are released uncontrolled inside the house it might mean danger to life and health.
Having a couple of fish and turtle tanks spread out in the house and in addition a server rack in the basement it’s important to know when there’s a leak of water at moments notice.
As the server-room also is housing some water pumps for a well you got all sorts of dangers mixed in one location: Water and Fire hazard.
To detect water leaks all tanks and the pumps for the well are equipped with water sensors which send out an alerting signal as soon as water is detected. This signal is picked up and pushed to MQTT topics and from there centrally consumed and reacted upon.
Of course the server rack is above the water level so at least there is time to send out alerts while even power is out for the rest of the house (all necessary network and uplink equipment on it’s own batteries).
For alerting when there is smoke or a fire, the same logic applies. But for this some loud-as-hell smoke detectors are used. The smoke detectors interconnect with each other and make up a mesh for alerting. If one goes off. All go off. One of them I’ve connected to it’s very own ESP8266 which sends a detected signal to another MQTT topic effectively alerting for the event of a fire.
In one of the pictures you can see what happened when the basement water detector did detect water while the pump was replaced.
A lot of things in a household have weight, and knowing it’s weight might be crucial to health and safety.
Some of those weight applications might tie into this:
– your own body weight over a longer timespan
– the weight of your pets, weighed automatically (like on a kitty litter box)
– the weight of food and ingredients for recipes as well as their caloric and nutrition values
– keeping track of fill-levels on the base of weights
All those things are easily done with connected devices measuring weights. Like the kitty-litter box at our house weighing our cat every time. Or the connected kitchen-scale sending it’s gram measurements into an internal MQTT topic which is then displayed and added more smarts through an App on the kitchen-ipad consuming that MQTT messages as well as allowing recipe-weigh-in functions.
It’s not only surveillance but pro-active use. There are beekeepers who monitor the weight of their bee hives to see what’s what. You can monitor all sorts of things in the garden to get more information about it’s wellbeing (any plants, really).
Weekend is laundry time! The smart house knows and sends out notifications when the washing machine or the laundry dryer are done with their job and can be cleared.
Of course this can all be extended with more sensory data, like power consumption measurements at the actual sockets to filter out specific devices much more accurate. But for simple notification-alerting it’s apparently sufficient to monitor just at the houses central power distribution rack.
On the sides this kind of monitoring and pattern-matching is also useful to identify devices going bad. Think of monitoring the power consumption of a fridge. When it’s compressor goes bad it’s going to consume an increasing amount of power over time. You would figure out the malfunction before it happens.
Same for all sorts of pumps (water, oil, aquarium,…).
All this monitoring and pattern matching the smart house does so it’s inhabitants don’t have to.
We love music. We love it playing loud across the house. And when we did that in the past we missed some things happening around.
Like that delivery guy ringing the front doorbell and us missing an important delivery.
This happened a lot. UNTIL we retrofitted a little PCB to our doorbell circuit to make the house aware of ringing doorbells.
Now everytime the doorbell rings a couple of things can take place.
– push notifications to all devices, screens, watches – that wakes you up even while doing workouts
– pause all audio and video playback in the house
– take a camera shot of who is in front of the door pushing the doorbell
And: It’s easy to wire up things whatever those may be in the future.
So how do you manage all these sensors and switches, and lights, and displays and speakers…
One way has proven to be very useful and that is by using a standard calendar.
Yes, the one you got right on your smartphone or desktop.
A calendar is a simple manifestation of events in time and thus it can be used to either protocol or schedule events.
So the smart house uses calendars to:
schedule on/off times for switches, alarms, whatever can be switched
notes down locations and can react upon locations on schedule or when members of the household arrive/leave those locations based on calendar events
reminds members in the house on upcoming events
protocols media playback (what song,…) for later search
lets members of the house set events through different means like voice, smartphone, …
So what am I using this calendar(s) for? Simple. It’s there to track travelling since I know when I was where by simply searching the calendar (screenshot). It’s easy to make out patterns and times of things happening since a calendar/timeline view feels natural. Setting on/off times and such is just a bliss if you can make it from your phone in an actual calendar rather than a tedious additional app or interface.
And of course: the house can only be smart about things when it has a way to gather and access that data. Reacting to it’s inhabitants upcoming and previous events adds several levels of smartness.
We all know it: After a long day of work you chilled out on your bean bag and fell asleep early. You gotta get up and into your bed upstairs. So usually light goes on, you go upstairs, into bed. And there you have it: You’re not sleepy anymore.
Partially this is caused by the light you turned on. If that light is bright enough and has the right color it will wake you up no matter what.
To fight this companies like Apple introduced things like “NightShift” into iPhones, iPads and Macs.
“Night Shift uses your computer’s clock and geolocation to determine when it’s sunset in your location. It then automatically shifts the colors in your display to the warmer end of the spectrum.”
Simple, eh?. Now why does your house not do that to prevent you being ripped out of sleepy state while tiptoeing upstairs?
Right! This is where the smart house will be smart.
Nowadays we’ve got all those funky LED bulbs that can be dimmed and even their colours set. Why none of those market offerings come with that simple feature is beyond me:
After sunset, when turned on, default dim to something warmer and not so bright in general.
I did implement and it’s called appropriately the “U-Boot light”. Whenever we roam around the upper floor at night time, the light that follows our steps (it’s smart enough to do that) will not go full-blast but light up dim with redish color to prevent wake-up-calls.
The smart part being that it will take into account:
– movement in the house
– sunset and dawn depending on the current geographic location of the house (more on that later, no it does not fly! (yet))
– it’ll turn on and off the light according to the path you’re walking using the various sensors around anyways
Now that you got your home entertainment reacting to you making a phone call (use case #1) as well as your current position in the played audiobook (use case #3) you might want to add some more location awareness to your house.
If your house is smart enough to know where you are, outside, inside, in what room, etc. – it might as well react on the spot.
So when you leave/enter the house:
– turn off music playing – pause it and resume when you come back
– shutdown unnecessary equipment to limit power consumption when not used and start-back up to the previous state (tvs, media centers, lights, heating) when back
– arm the cameras and motion sensors
– start to run bandwidth intense tasks when no people using resources inside the house (like backing up machines, running updates)
– let the roomba do it’s thing
– switch communication coming from the house into different states since it’s different for notifications, managing lists and spoken commands and so on.
There’s a lot of things that that benefit from location awareness.
Bonus points for outside house awareness and representing that like a “Weasly clock”…“xxx is currently at work”.
Bonus points combo breaker for using an open-source service like Miataru (http://miataru.com/#tabr3) for location tracking outside the house.
So you’re listening to this audio book for a while now, it’s quite long but really thrilling. In fact it’s too long for you to go through in one sitting. So you pause it and eventually listen to it on multiple devices.
We’ve got SONOS in our house and we’re using it extensively. Nice thing, all that connected goodness. It’s just short of some smart features. Like remembering where you paused and resuming a long audio book at the exact position you stopped the last time. Everytime you would play a different title it would reset the play-position and not remember where you where.
With some simple steps the house will know the state of all players it has. Not only SONOS but maybe also your VCR or Mediacenter (later use-case coming up!).
Putting together the strings and you get this:
Whenever there’s a title being played longer than 10 minutes and it’s paused or stopped the smart house will remember who, where and what has been played and the position you’ve been at.
Whenever that person then is resuming playback the house will know where to seek to. It’ll resume playback, on any system that is supported at that exact position.
Makes listening to these things just so much easier.
Bonus points for a mobile app that does the same thing but just on your phone. Park the car, go into the house, audiobook will continue playback, just now in the house instead of the car. The data is there, why not make use of it?