Project description

audio8

API examples using 8-mile for audio

Implementation

The codebase relies primarily on 8-mile (mead-layers) for its modeling and optimization code. Whats left is pretty much just training and inference code

Dependencies

The code depends on:

editdistance (for error evaluation)
numpy
six
soundfile
mead-baseline
pytorch

There are a few optional dependencies

scipy (for on-the-fly resampling of wav files)
ctcdecode (for prefix beam decoding with optional LM)

Project details

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Development Status
- 3 - Alpha
Environment
- Console
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: Apache Software License
Natural Language
- English
Operating System
- OS Independent
Programming Language
Topic
- Scientific/Engineering :: Artificial Intelligence

Release history Release notifications | RSS feed

This version

0.0.6

Jul 1, 2021

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Source Distribution

mead-audio8-0.0.6.tar.gz (32.7 kB view hashes)

Uploaded Jul 1, 2021 Source

Built Distribution

mead_audio8-0.0.6-py3-none-any.whl (56.7 kB view hashes)

Uploaded Jul 1, 2021 Python 3

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