At last software

The first Blackberry had just been introduced. Everything about speech-recognition depends on computing power. Using the analytical algorithms to convert raw sound into prose. Applying these steps to new streams of sound as they come in. Over time, a difference in degree becomes a difference in kind. What was too slow and clumsy, is now fast and, if not perfect, usably precise. Otter is an online voice-to-text service that made its debut a few years ago.

It has received a lot of attention in the tech world. The company started out in with a more generic, tech-sounding name. Otters project a collaborative image and we are building a collaboration product. Otters are also one of the smartest animals in the world, many people don't know that, they can learn a lot of skills and have a good memory. As for paying, the details are at the Otter site.

It allows up to minutes of transcription per month, and up to 40 minutes per each audio session. This is a no-risk way for interested potential users to give it a try. It allows minutes per month, and 4 hours per recording.

There are other enterprise scale-type options available. I will say more about their personal and technology-world backgrounds another time. And also about the political, journalistic, personal, and other implications of technological advances like this. During the Zoom call I had with Liang and some of his colleagues, Otter was providing a real-time transcription of what all of us were saying. I want to share part of the automated transcript of what Liang said —not so much for its content which is interesting, to me but for its accuracy.

I stress that what I have quoted below is the raw version of what Otter produced. The capitalization, commas, periods, and sentence breaks are shown as they appeared.

Update: As my friends and journalistic comrades Walter Shapiro and Joe Nocera have pointed out, Otter also allows you to click on any line in the transcript, and hear the original voice recording of that moment. I have seen this in some other applications over the years, but again, it works. However, there is no really easy way to search voice information. But then even after the recorder was he invented most of the voice data was not even captured, and for the first few percentage of data that was captured, was actually very hard to search, very hard to access.

Because, right, you have to rewind, fast forward multiple tries to find the part you're interested in. So all those combined motivated us to build something that can help with this problem, you know capture human knowledge. Make information searchable. So then we look at the technology available at that time, we look at the Google API Microsoft API and a few other API's, we tested it with human conversations and we found that the system at that time actually worked pretty badly on accuracy was low.

It couldn't understand my accent it…. It was traced in the complexity of English language, right, it's just so many variations of saying the same word or something that words have similar pronunciations it's an How do you handle those so that we thought that wow, you know, people have been working on speed tracking for so long, you mentioned Kai Fuli. He, you know, was one of the pioneers of speech recognition when he was, was doing his PhD exam here.

However, the problem was so hard after so many years, it's still not doing very well, especially for conversations. Fair point. Put simply, Express Accounts Free, is free, easy to use, and intuitive. SourceTree is a nice alternative to the git command line. It is a fast and easy way to work with Git and Mercurial, especially if you are using Git Flow and looking for free software.

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