MIT 6.S191: Automatic Speech Recognition

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MIT Introduction to Deep Learning 6.S191: Lecture 8
Lecturer: Miguel Jetté (Head of AI R&D) and Jennifer Drexler (Senior Speech Scientist)
Rev.AI
January 2022

Lecture Outline - coming soon!

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  1. Alexander Amini
  2. deep learning
  3. mit
  4. artificial intelligence
  5. neural networks
  6. machine learning
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Thank you so much for all your efforts to make it open source! The lectures are really helpful 😄

mtamjidhossain
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Thank you so much for the amazing lectures.

bilaldendani
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You guys are so awesome for making these lectures public.

emc
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Can I recommend precision formats, because in the "REAL WORLD", transcription is one thing but also dialog level speech for mixed phonetics is critical along with hypothesis or word alternatives and confidence scores. A good test is a mixed alpha numeric. B's, T's, D's, E's, V's. I know you talk about transcription but if you want to go beyond that into conversational voice you need this in place. You also need to be careful on English. US English is US English, UK English is different again, as is international English. If you try to model English as US English you will fail. 30 years Speech rec experience here and designed delivered large scale speech and biometric systems. Happy to give you some commercial industrial insights for the real world. Ciao!

MrKarlyboy
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We Really appreciate your effort, bro. and congratulations on finishing your PHD

yousefbaqraf
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how i can change live videos voice, like English voice to Hindi, how i can change your any video English voice to Hindi voice, i am not able to read caption

SpaceSoftSystem