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azure-docs

Open source documentation of Microsoft Azure

dtw

DTW (Dynamic Time Warping) python module

midi-ai-melody-generator

Uses LSTM neural networks to compose new and original melodies by feeding it midi files

multi-f0-estimation

Multiple Fundamental Frequency Estimation

pink-trombone

from http://dood.al/pinktrombone/

pyaapt

Implementation of the YAAPT (Yet Another Algorithm for Pitch Tracking), an algorithm that determines the fundamental frequency of noisy signals (speech signals, for example).

show_chord

sneeze-detector

Sneeze detector preprocess audio files with nose and sneezing sounds, extract MFCC features and search nearest features distance

the-bpm-detector-python

BPM detection for audio files (currently just .wav). Takes in the whole file, and prints out the BPM.

user-authentication-using-voice-recognition-using-machine-learning

Voice Recognition is used to recognize a speaker's voice through his/her pitch and Frequency. We aim to recognize a speaker at real-time. We use two modules – feature extraction and codebook generation. We have extracted voice features by computing Mel Frequency Cepstrum Coefficients. Speaker specific codebook is generated by the Vector Quantization technique introduced by Linde, Buzo and Gray. In the training phase, speaker specific codebook is computed and stored in the database against each speaker. At the time of recognition, in- put voice signal is recorded and its codebook is computed and compared with the codebooks stored in the database. If a match is found the recognized speaker details is displayed, else error message is displayed.

voicequalizer