Train an Acoustic Model for Khmer language with Montreal Forced Aligner
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Updated
May 26, 2024 - Python
Train an Acoustic Model for Khmer language with Montreal Forced Aligner
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.
This python script is to convert an Indonesian word to phoneme sequence to generate a lexicon used to train Indonesian Automatic Speech Recognition system.
Code for: "Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches"
A Python implementation of observer-based audibility modelling methods
It is an algorithm analysed the acoustic features of a voice and creates an acoustic classifier - USEFUL for auto-speech-rater
It is an algorithm analysed the acoustic features of a voice and creates an acoustic classifier - USEFUL for auto-speech-rater
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
Automated, end-to-end wakeword model maker using the Precise Wakeword Engine
PyTorch implementation of automatic speech recognition models.
SC-CNN: Effective Speaker Conditioning Method for Zero-Shot Multi-Speaker Text-to-Speech Systems
Code for the paper: Audio to Score Matching by Combining Phonetic and Duration Information
[AAAI 2024] CTX-txt2vec, the acoustic model in UniCATS
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.
This is a sub-repository in building to create acoustic model in Mandarin speech recognition.
Official code for "Learning Neural Acoustic Fields" (NeurIPS 2022)
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)
A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.
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