braindead_in

Scribie | San Francisco, CA | Speech Recognition Engineer | Full Time | Onsite

Scribie is an audio/video transcription service where we manually convert interviews, meetings, teleconferences, podcasts and other spoken audio files to text via our 4-step process which guarantees high accuracy. We have tons of high quality data, audio files and their corresponding transcripts. We would like to build a ASR system and use our data to train it with the aim to eventually achieving a high enough accuracy to replace the first step our process which is manual typing.

The key skills we are looking for are:

- Hands-on experience with speech recognitions systems, eg. Kaldi

- Knowledge of major components of an ASR systems

Drop me a line at rajiv@scribie.com if you're interested in taking up this challenging position.

We do super-human-parity transcripts. Our transcripts are insanely accurate, even for challenging files. I'm sure computers will be able to do that one day, but Singularity would have already happened by then, wiping out many businesses. I for one look forward to Singularity and hope that we will contribute to it in some way.

A consumer focused human parity ASR service will disrupt so many industries, including mine. I run a human powered transcription service where we transcribe files with high accuracy. I am just waiting for the day when our transcribers can work off a auto-generated transcript instead of typing it all up manually. I'll pay good money for a service where I can just send a file and get a 80-90% accurate transcript with speaker diarization.

One person's fake news is another person's entertainment. The problem is not a technical issue. It is a cultural issue. ML cannot solve a cultural issue.

Scribie | San Francisco, CA | Speech Recognition Engineer | Full Time | Onsite

Scribie is an audio/video transcription service where we manually convert interviews, meetings, teleconferences, podcasts and other spoken audio files to text via our 4-step process which guarantees high accuracy. We have tons of high quality data, audio files and their corresponding transcripts. We would like to build a ASR system and use our data to train it with the aim to eventually achieving a high enough accuracy to replace the first step our process which is manual typing.

The key skills we are looking for are:

- Hands-on experience with speech recognitions systems, eg. Kaldi

- Knowledge of major components of an ASR systems

Drop me a line at rajiv@scribie.com if you're interested in taking up this challenging position.

We have an open position for an Kaldi Engineer, in case anyone's interested.

https://news.ycombinator.com/item?id=12630618

How difficult would it be to write a anti-mirai virus which disables the remote access on these IoT devices? Or at least warns the user in some way that this device is being used for DDoS.

I run an human powered transcription service and I get really excited on such news. Typing is the first step of our process (of four) and any ASR system which can generate even around 80% accurate transcript of a file will be incredibly useful. We have tried several systems but unfortunately none have been able to get there yet.

Very cool. How do you compare to speechmatics?

Scribie | San Francisco, CA | Speech Recognition Engineer | Full Time | Onsite

Scribie is an audio/video transcription service where we manually convert interviews, meetings, teleconferences, podcasts and other spoken audio files to text via our 4-step process which guarantees high accuracy. We have tons of high quality data, audio files and their corresponding transcripts. We would like to build a ASR system and use our data to train it with the aim to eventually achieving a high enough accuracy to replace the first step our process which is manual typing.

The key skills we are looking for are:

- Hands-on experience with speech recognitions systems, eg. Kaldi

- Knowledge of major components of an ASR systems

Drop me a line at rajiv@scribie.com if you're interested in taking up this challenging position.

Scribie | San Francisco, CA | Speech Recognition Engineer | Full Time | Onsite

Scribie is an audio/video transcription service where we manually convert interviews, meetings, teleconferences, podcasts and other spoken audio files to text via our 4-step process which guarantees high accuracy. We have tons of high quality data, audio files and their corresponding transcripts. We would like to build a ASR system and use our data to train it with the aim to eventually achieving a high enough accuracy to replace the first step our process which is manual typing.

The key skills we are looking for are:

- Hands-on experience with speech recognitions systems, eg. Kaldi

- Knowledge of major components of an ASR systems

Drop me a line at rajiv@scribie.com if you're interested in taking up this challenging position.

Scribie | San Francisco, CA | Speech Recognition Engineer | Full Time | Onsite

Scribie is an audio/video transcription service where we manually convert interviews, meetings, teleconferences, podcasts and other spoken audio files to text via our 4-step process which guarantees high accuracy. We have tons of high quality data, audio files and their corresponding transcripts. We would like to build a ASR system and use our data to train it with the aim to eventually achieving a high enough accuracy to replace the first step our process which is manual typing.

The key skills we are looking for are:

- Hands-on experience with speech recognitions systems, eg. Kaldi

- Knowledge of major components of an ASR systems

Drop me a line at rajiv@scribie.com if you're interested in taking up this challenging position.

Scribie | San Francisco, CA | Speech Recognition Engineer | Full Time | Onsite

Scribie is an audio/video transcription service where we manually convert interviews, meetings, teleconferences, podcasts and other spoken audio files to text via our 4-step process which guarantees high accuracy. We have tons of high quality data, audio files and their corresponding transcripts. We would like to build a ASR system and use our data to train it with the aim to eventually achieving a high enough accuracy to replace the first step our process which is manual typing.

The key skills we are looking for are:

- Hands-on experience with speech recognitions systems, eg. Kaldi

- Knowledge of major components of an ASR systems

Drop me a line at rajiv@scribie.com if you're interested in taking up this challenging position.

I have been running https://scribie.com for over 8 years now. We have more than 11,000 freelancers and are closing in on 1.5 Million minutes of transcription. Growth has been fluctuating from 25% to 100% depending on the year. We never did much marketing except regularly updating the blog and some AdWords.

Amazing demo. Can it be used to separate two voices in a file?

How well does this work with conversational speech? Any benchmarks?

Tried to sign up for the Speech API, but could not find the Google Cloud Platform user id. Would love to integrate this with our transcription editor.

You should just ask them to use your tools and sell it internally as a productivity tool. Tell the management that it will increase the output by 10X and they can get 10X more work done in the same time.

Is there an open source alternative to Kix? I've been looking for WYSIWYG which has the look and feel of a document processor.

How long did the L1 application take for you? I filed my petition 2 months ago and am still waiting to hear back from USCIS. Keeping my fingers crossed; 50-50 chance that it'll be approved I guess.

I'll counter that ASR does improve the efficiency. The biggest player in Medical Transcription is Nuance. It's main product is a ASR! The MT industry has moved on from all human process in the last decade. The ASR accuracy in MT is currently around 90%. The rest of the work is done by human editors.

Our goal with ASR is not replace the typists, but to assist them. On an average typing takes 4X the duration of actual time. An 80% accurate ASR may reduce it to 2X, which in turn should translate to faster turnaround and improved throughput.

We are an manually powered audio transcription service. We convert spoken audio files to text via a four step process which guarantees minimum 98% accuracy. Our customers are mostly researchers, journalists, videographers, podcasters etc.

Right now, our transcribers manually do the typing. If we have a ASR based system, which produces even a 80% accurate transcript of the audio, we can improve our efficiency manifold.

We have a lot of data, audio files and their corresponding transcript. That data can be used to train a DNN based system. A software solution or framework which can do that would be ideal for us so that we can keep feeding in the data and continuously improve our model.

Automatic Speech Recognition solution, a rival to Google's system.

Not getting is never good a good sign. But the assumption that you can send emails only while awake is wrong as well.

Scribie.com - Bangalore, India/Remote

Full Time

Full Stack Developer

Hands on experience with:

  NodeJS, ExpressJS, JADE, SASS
  Bootstrap
  LMNP stack

Knowledge of the following is desirable, but not required:

  WebRTC
  Websockets

Exposure to the following is added advantage

  NLP
  Machine Learning
  Neural Networks

Email your cv to rajiv at scribie.com

rejected with https://scribie.com - Mturk for audio/video transcription. Have been working on it for 5 years now, 3 of which were a side project.

I run an human powered audio transcription service and I'd be very interested in trying it out. I went through the API docs and it seems straightforward enough. However, what's the pricing? Can't find it anywhere. Is it free?

Scribie.com, Remote, Business Development/Marketing

We are a fast growing online audio/video transcription service. We looking for the right person who can set up our marketing function and drive revenue growth with a proven track record.

We have managed to create around 4000 jobs for audio transcribers. Around 10% are regulars on our platform. Long way to go for a million.

Cost of transcription is not really the problem. The problem is quality.