speech-to-text-wavenet | Speech-to-Text-WaveNet : End-to-end sentence level English | Speech library
kandi X-RAY | speech-to-text-wavenet Summary
kandi X-RAY | speech-to-text-wavenet Summary
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
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Top functions reviewed by kandi - BETA
- Process libriSpeech data files
- Convert a string to an index
- Process TTL data files
- Convert a SOX file to a wav
- Load audio file
- Augment a random FCC
- Print a list of indices
- Convert an index to a string
- Process VCTK files
- Get logit
- Compute CTC loss
speech-to-text-wavenet Key Features
speech-to-text-wavenet Examples and Code Snippets
find -type f -name '*.sph' | awk '{printf "sox -t sph %s -b 16 -t wav %s\n", $0, $0".wav" }' | bash
sudo apt-get install sox
python preprocess.py
Community Discussions
Trending Discussions on speech-to-text-wavenet
QUESTION
How can I integrate a language model in a tensorflow speech recognition architecture?
There are a bunch of examples out there for building character level speech recognition in Tensorflow (e.g. https://github.com/nervanasystems/neon, https://github.com/buriburisuri/speech-to-text-wavenet), which is interesting but practically useless, unless a language model is integrated. I couldn't find an example that uses a language model.
How can I integrate a language model?
...ANSWER
Answered 2017-Apr-12 at 07:55LM scoring is just an additional rescoring step, simply a spelling correction with a language model. It can be applied on any system output. Mozilla has it spell.py for example.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install speech-to-text-wavenet
You can use speech-to-text-wavenet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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