johnmeade

'''
Tools for sampling from arbitrary probability densities.

Requirements:
    pip install scipy numpy

John Meade 2019
MIT license
'''

johnmeade

'''
A multiprocessing Pool drop-in replacement for the pytorch
DataLoader class. Built to work around an apparent bug in
the default pytorch DataLoader, in which it hangs indefinitely.
It is possible to reach a sustained 95-100% GPU usage (as
reported by `nvidia-smi`) using this implementation.

Requirements:
    pip install filelock

johnmeade

import numpy as np

def wada_snr(wav):
    # Direct blind estimation of the SNR of a speech signal.
    #
    # Paper on WADA SNR:
    #   http://www.cs.cmu.edu/~robust/Papers/KimSternIS08.pdf
    #
    # This function was adapted from this matlab code:
    #   https://labrosa.ee.columbia.edu/projects/snreval/#9

johnmeade

"""
Estimate background noise power level of a speech waveform.
Requires some non-speech regions in the wave.

Requirements:
    pip install numpy librosa soundfile webrtcvad

MIT License John Meade 2021
"""

johnmeade

"""
Note: Aeneas is based on TTS and DTW, which is not ideal for word-level alignment.
However, it is easy to install and works quite well, so it is still very useful.
This gist just lazily writes files to "/tmp" for demonstration purposes.

System and Python dependencies (Ubuntu):
    sudo apt-get install python-dev espeak espeak-data libespeak1 libespeak-dev ffmpeg
    pip install numpy textgrid
    pip install aeneas

johnmeade

"""
Multi-language ASR using Huggingface transformer models.

Python dependencies:
    pip install transformers==4.5.0 librosa soundfile torch
"""

from typing import NamedTuple
from functools import lru_cache