https://github.com/sam2125/translatotron
Direct speech-to-speech translation with a sequence-to-sequence model
Papers with Code 아카이브
Accented Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/scpark20/universal-music-translation
https://github.com/serp-ai/bark-with-voice-clone
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/seungwonpark/melgan
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/sewplay/demos
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
https://github.com/sh-lee-prml/BigVGAN
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
https://github.com/shivammehta25/BetterFastSpeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/shortpoet/Final-Project
https://github.com/smoke-trees/Voice-synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/soarsmu/crossasr
https://github.com/soham97/pam
Evaluating Speech Synthesis by Training Recognizers on Synthetic Speech
https://github.com/soobinseo/transformer-tts
https://github.com/sooftware/End-to-End-Speech-Recognition-Models
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/sooftware/OpenSpeech
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/sriharireddypusapati/speech-to-text-wavenet2
https://github.com/stdereka/liverpool-ion-switching
https://github.com/stepfun-ai/step-audio
Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model
https://github.com/sunilrdvg/ESOLA
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals
https://github.com/suno-ai/bark
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/swasun/VQ-VAE-Speech
https://github.com/swatsw/isg_official
https://github.com/switiz/deepspeech2.pytorch
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/syang1993/gst-tacotron
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/takaaki-saeki/ssl_speech_restoration
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
https://github.com/tarepan/jsss
JSSS: free Japanese speech corpus for summarization and simplification
https://github.com/tarepan/jsut
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
https://github.com/tartunlp/transformertts
https://github.com/tensorflow/models/tree/master/research/deep_speech
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/text-to-audio/make-an-audio
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
https://github.com/thepowerfuldeez/tacotron2
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/thethirdwheel/malumagraph
https://github.com/thorwhalen/sla
https://github.com/thorwhalen/slang
https://github.com/thuhcsi/tacotron
https://github.com/tigthor/Voice-Cloning-AI
https://github.com/trinhtuanvubk/diff-vc
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.