acoustic-model

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Command line utility for forced alignment using Kaldi

My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.

A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Foreign Accent Conversion by Synthesizing Speech from Phonetic Posteriorgrams (Interspeech'19)

PyTorch implementation of automatic speech recognition models.

Acoustic mosquito detection code with Bayesian Neural Networks

🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.

Code for the paper: Audio to Score Matching by Combining Phonetic and Duration Information

A crash course for training speech recognition models using DeepSpeech.

A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

Real Time Foreign Accent Conversion

Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

It is an algorithm analysed the acoustic features of a voice and creates an acoustic classifier - USEFUL for auto-speech-rater

A BCNN prediction pipeline to discover mosquito sounds from audio.

Some approaches based on deep learning to build the acoustic model for an end-to-end automatic speech recognition (ASR) pipeline.

This is a sub-repository in building to create acoustic model in Mandarin speech recognition.

It is an algorithm analysed the acoustic features of a voice and creates an acoustic classifier - USEFUL for auto-speech-rater

Official code for "Learning Neural Acoustic Fields"

A Bash script designed to make training sphinx4 and pocketsphinx acoustic libraries faster and easier

This is now the official location of the Kaldi project.

Notebooks notes about Automatic Speech Recognition

A voice user interface that recognizes the user's voice via the Sphinx library to execute some commands. The system responds with a computer generated voice and sound clips. Finally, there's a server for storing and reacting to the data, and a client for connecting to the system.

some papers about automatic speech recognition

Acoustic event detection using yamnet model. Model is deployed using tensorflow serving in docker container and Flask API

Repository of an implementation of the matrix method for acoustic levitation simulations

Use flight tracks to ground-truth where aircraft noise may be heard.

Cellular automata based simulator for acoustic wave propagation with random obstacles.