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Super cool work, congrats BoldVoice team! I've always thought that one of the non-obvious applications of voice cloning/matching is the ability to show a language learner what they would sound like with a more native accent.


This and more exciting features are coming to the BoldVoice app soon!


this^


Speak | iOS Engineer | San Francisco | usespeakeasy.com | Full Time | ONSITE https://angel.co/speak-4/jobs

Speak (YC W17) is an AI English tutor on your phone. Our app features a cast of fun virtual characters that we’ve carefully created to improve your English fluency as quickly as possible. We’re building speech recognition that can understand heavy accents and that lets users actually have conversations in English—without needing a human partner.

We launched only a few months ago and users all around the world are already having over 50,000 conversations per week with our virtual characters. We’re backed by Y Combinator and some of the best investors in the world.

We’re looking for our first iOS/Swift engineer to lead mobile development and eventually help grow and lead the team. We want to talk to you if you are a curious person, care about the details of a great user experience, and can build fast.

We’re currently a tiny team of 4 working out of a beautiful brick office in the SoMa district of San Francisco. Email us at jobs@usespeakeasy.com, and come help us build the way the next billion people will learn English.


Speak | iOS Engineer | San Francisco | usespeakeasy.com | Full Time | ONSITE https://angel.co/speak-4/jobs

Speak (YC W17) is an AI English tutor on your phone. Our app features a cast of fun virtual characters that we’ve carefully created to improve your English fluency as quickly as possible. We’re building speech recognition that can understand heavy accents and that lets users actually have conversations in English—without needing a human partner.

We launched only a few months ago and users all around the world are already having over 50,000 conversations per week with our virtual characters. We’re backed by Y Combinator and some of the best investors in the world.

We’re looking for our first iOS/Swift engineer to lead mobile development and eventually help grow and lead the team. We want to talk to you if you are a curious person, care about the details of a great user experience, and can build fast.

We’re currently a tiny team of 4 working out of a beautiful brick office in the SoMa district of San Francisco. Email us at jobs@usespeakeasy.com, and come help us build the way the next billion people will learn English.


Speak | iOS Engineer | San Francisco | usespeakeasy.com | Full Time | ONSITE https://angel.co/speak-4/jobs

Speak (YC W17) is an AI English tutor on your phone. Our app features a cast of fun virtual characters that we’ve carefully created to improve your English fluency as quickly as possible. We’re building speech recognition that can understand heavy accents and that lets users actually have conversations in English—without needing a human partner.

We launched only a few months ago and users all around the world are already having over 50,000 conversations per week with our virtual characters. We’re backed by Y Combinator and some of the best investors in the world.

We’re looking for our first iOS/Swift engineer to lead mobile development and eventually help grow and lead the team. We want to talk to you if you are a curious person, care about the details of a great user experience, and can build fast.

We’re currently a tiny team of 4 working out of a beautiful brick office in the SoMa district of San Francisco. Email us at jobs@usespeakeasy.com, and come help us build the way the next billion people will learn English.


The cifar_10 example code is a good starting point: https://github.com/tensorflow/tensorflow/tree/r0.8/tensorflo...

Read the how to on reading data from files: https://www.tensorflow.org/versions/r0.8/how_tos/reading_dat...

and check out this useful Stack Overflow answer: http://stackoverflow.com/questions/33648322/tensorflow-image...


Nice! Congratulations on putting this out there.

How does this work? What did you use as training data? Do you parse the sentence in any way?

For example, "Hey! It was so so great to see you." gets a 46/100, and 'so' is listed as an impolite word, which is understandable in some contexts but not this one.


Thanks. Yes, we built our own training set.

Catching all the different senses of the word is a hard problem. There's always something to improve.


This is great. Thanks a lot for sharing. We're working on html emails for our own project and it's shocking how arcane and backwards this entire thing is. Hopefully these templates will save us a lot of time.


A friend showed me an app yesterday on an iPhone 5S and I couldn't tell if it was native or Ionic. Pretty exciting.


We love Ionic. It's by far the best and most rapidly improving way to build mobile apps with web tech.


Maybe in Seattle. In general, double your prices for the Bay Area. :)

I'd be really happy if I could consistently find a $5 meal in SF.


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