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Hi there ๐Ÿ‘‹

My research interests encompass the extensive domain of speech and language intelligence, which includes speech foundation models, large language models (LLMs), text-to-speech synthesis (TTS), voice conversion (VC), singing synthesis, cross-modal representation learning, audio adversarial attacks & defense, among other related areas.

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Songxiang Liu's Projects

g2p icon g2p

g2p: English Grapheme To Phoneme Conversion

glow icon glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

glow-tts icon glow-tts

A Generative Flow for Text-to-Speech via Monotonic Alignment Search

hifi-gan icon hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

jd-nmf icon jd-nmf

Joint Dictionary Learning-based Non-Negative Matrix Factorization for Voice Conversion

kaldi-io-for-python icon kaldi-io-for-python

Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

lpcnet icon lpcnet

Efficient neural speech synthesis

merlin icon merlin

This is now the official location of the Merlin project.

mfcc-dtw icon mfcc-dtw

Simple MFCC extractor and an speech recognition algorithm (Dynamic Time Warping)

mtts icon mtts

A Demo of Mandarin/Chinese TTS frontend

parallelwavegan icon parallelwavegan

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

piano-synthesis icon piano-synthesis

Code accompanying ML4MD ICML 2020 paper - "Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance".

python icon python

All Algorithms implemented in Python

python-100-days icon python-100-days

Python - 100ๅคฉไปŽๆ–ฐๆ‰‹ๅˆฐๅคงๅธˆ

pytorch-kaldi icon pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

resemblyzer icon resemblyzer

A python package to analyze and compare voices with deep learning

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