RuiLiu

StrengthNet. [INTERSPEECH'2022] Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning

python-MCD. Python

MonTTS. Python

M2S-ADD. [InterSpeech'2023] "Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion"

myanmar-tokenizer. A Rule-based Syllable Segmentation of Myanmar Text

i-ETTS. [InterSpeech'2021] Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability

DSS-SE. Distributed Sensor Selection for Speech Enhancement with Acoustic Sensor Networks

GraphSpeech. [ICASSP'2021] GraphSpeech: Syntax-aware Graph Attention Network For Neural Speech Synthesis

Ai-TTS. [InterSpeech'2023] Explicit Intensity Control for Accented Text-to-speech

MnTTS.

awesome-multimodal-ml. Reading list for research topics in multimodal machine learning

Expressive-TTS-Training-with-Frame-and-Style-Reconstruction-Loss. [IEEE/ACM TASLP'2021] Expressive TTS Training with Frame and Style Reconstruction Loss

FastTalker. [Neural Networks'2021] FastTalker: A neural text-to-speech architecture with shallow and group autoregression

ttslr.github.io. ttslr.github.io

CTA-TTS. [IEEE/ACM-TASLP 2024] Controllable Accented Text-to-Speech Synthesis with Fine and Coarse-Grained Intensity Rendering

SPL2020. [IEEE SPL'2020] Modeling Prosodic Phrasing With Multi-Task Learning in Tacotron-Based TTS

NCE-TTS. [IEEE TASLP' 2025] Noise Robust Cross-Speaker Emotion Transfer in TTS Through Knowledge Distillation and Orthogonal Constraint

awesome-test-time-adaptation. Collection of awesome test-time (domain/batch/instance) adaptation methods

MSCR-ADD.

ECSS. Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling (Accepted by AAAI2024)

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

awesome-speech-recognition-speech-synthesis-papers. automatic speech recognition paper roadmap, including HMM, DNN, RNN, CNN, Seq2Seq, Attention

g2p. g2p: English Grapheme To Phoneme Conversion

Blizzard-Challenge-2020.

Awesome-CV-Team. 国内外优秀的计算机视觉团队汇总，极市团队整理

Blizzard-Challenge-2019.

Emotional-Speech-Data. This is the GitHub page for publicly available emotional speech data.

Awesome-Multimodal-Research. A curated list of Multimodal Related Research.

asr-study. Implementation of all-neural speech recognition systems using Keras and Tensorflow

speech-synthesis-paper. List of speech synthesis papers.

ICASSP2020. [ICASSP'2020] Teacher-Student Training for Robust Tacotron-based TTS

niy. A super mini but powerful deep learning framework

AttentionBasedProsodyPrediction. Encoder and Decoder and Attention Based Prosody Prediction

Automatic_Speech_Recognition. End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

phonemizer. Simple text to phones converter for multiple languages