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Audio-Visual Speech Recognition

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평가표: 4
보존된 평가 기록: 24

Audio-visual speech recognition is the task of transcribing a paired audio and visual stream into text.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mangushev/aligntts

AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment

https://github.com/maum-ai/univnet

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

https://github.com/maum-ai/wavegrad2

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

https://github.com/mejanvijay/RNN-Transducer

Sequence Transduction with Recurrent Neural Networks

https://github.com/merts1/dc_tts-turkish-implementation-T-rk-e-metinden-sese-

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/merts1/dc_tts-turkish-implementation-Turkce-metinden-sese-

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/microsoft/NeuralSpeech/tree/master/LightSpeech

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

https://github.com/mindmapper15/Voice-Converter

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/mindslab-ai/univnet

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

https://github.com/mindslab-ai/wavegrad2

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

https://github.com/mindspore-ai/models/tree/master/research/audio/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/mitsu-h/deepvoice3

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

https://github.com/mkotha/WaveRNN

Efficient Neural Audio Synthesis

https://github.com/mlvc-lab/Classification-NAS

Semi-Supervised Neural Architecture Search

https://github.com/modelscope/FunCodec

LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT

https://github.com/moonintheriver/neuralsvb

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

https://github.com/mozilla/TTS

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/mpc001/Visual_Speech_Recognition_for_Multiple_Languages

End-to-end Audio-visual Speech Recognition with Conformers

https://github.com/msalhab96/MultiSpeech

MultiSpeech: Multi-Speaker Text to Speech with Transformer

https://github.com/msalhab96/SpeeQ

Sequence Transduction with Recurrent Neural Networks

https://github.com/mtresearcher/FastSpeech2

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

https://github.com/mukeshv0/ParallelWaveGAN

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

https://github.com/nafiuny/ICRCycleGAN-VC

Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks

https://github.com/ndk03/Accent-Preserving-Voice-Cloning-using-SV2TTS/tree/master/Speech-Modeling-master

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

https://github.com/ndkgit339/fastspeech2-filled_pause_speech_synthesis

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

https://github.com/nickovchinnikov/tts-framework

DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021

https://github.com/nku-hlt/diffeditor

EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion

https://github.com/noetits/ICE-Talk

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/oliverwatts/ophelia

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/openvpi/DiffSinger

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

https://github.com/otosense/slang

WaveNet: A Generative Model for Raw Audio

https://github.com/outofculture/talk-like-me

WaveNet: A Generative Model for Raw Audio

https://github.com/p0p4k/vits2_pytorch

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

https://github.com/pascalbakker/WaveNet-Implementation

WaveNet: A Generative Model for Raw Audio

https://github.com/pbrandl/aNN_Audio

WaveNet: A Generative Model for Raw Audio

https://github.com/peter-yh-wu/xmodal

Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment

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