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Audio Deep Learning Made Simple - Automatic Speech Recognition (ASR), How it Works
Over the last few years, Voice Assistants have become ubiquitous with the popularity of Google Home, Amazon Echo, Siri, Cortana, and others. These are the most well-known examples of Automatic Speech Recognition (ASR). This class of applications starts with a clip of spoken audio in some language and extracts the words that were spoken, as text. For this reason, they are also known as Speech-to-Text algorithms.
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Audio Deep Learning Made Simple - Automatic Speech Recognition (ASR), How it Works
Over the last few years, Voice Assistants have become ubiquitous with the popularity of Google Home, Amazon Echo, Siri, Cortana, and others. These are the most well-known examples of Automatic Speech Recognition (ASR). This class of applications starts with a clip of spoken audio in some language and extracts the words that were spoken, as text. For this reason, they are also known as Speech-to-Text algorithms.
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https://ketanhdoshi.github.io/Audio-ASRAudio Deep Learning Made Simple - Automatic Speech Recognition (ASR), How it Works
Over the last few years, Voice Assistants have become ubiquitous with the popularity of Google Home, Amazon Echo, Siri, Cortana, and others. These are the most well-known examples of Automatic Speech Recognition (ASR). This class of applications starts with a clip of spoken audio in some language and extracts the words that were spoken, as text. For this reason, they are also known as Speech-to-Text algorithms.
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11- titleAudio Deep Learning Made Simple - Automatic Speech Recognition (ASR), How it Works | Ketan Doshi Blog
- titleAudio Deep Learning Made Simple - Automatic Speech Recognition (ASR), How it Works | Ketan Doshi Blog
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og:localeen_US- og:descriptionOver the last few years, Voice Assistants have become ubiquitous with the popularity of Google Home, Amazon Echo, Siri, Cortana, and others. These are the most well-known examples of Automatic Speech Recognition (ASR). This class of applications starts with a clip of spoken audio in some language and extracts the words that were spoken, as text. For this reason, they are also known as Speech-to-Text algorithms.
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Links
17- https://github.com/ketanhdoshi/ml
- https://ketanhdoshi.github.io/Audio-ASR
- https://ketanhdoshi.github.io/Audio-Augment
- https://ketanhdoshi.github.io/Audio-Classification
- https://ketanhdoshi.github.io/Audio-Intro