Papers with Code 아카이브
Speech Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 15
- 평가표
- 5
- 보존된 평가 기록
- 31
Speech synthesis is the task of generating speech from some other modality like text, lip movements etc.
Please note that the leaderboards here are not really comparable between studies - as they use mean opinion score as a metric and collect different samples from Amazon Mechnical Turk.
<span style="color:grey; opacity: 0.6">( Image credit: WaveNet: A generative model for raw audio )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/andabi/deep-voice-conversion
https://github.com/andabi/voice-vector
https://github.com/areffarhadi/mamba-asr
https://github.com/as-ideas/TransformerTTS
https://github.com/as-ideas/deepforcedaligner
https://github.com/ashishpatel26/tcn-keras-Examples
https://github.com/atharva7k/mms-code-switching
https://github.com/avi33/universalmelgan
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/avishai111/One-Class-Learning-with-Adaptive-Centroid-Shift-for-Audio-Deepfake-Detection
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection
https://github.com/awslabs/gluon-ts
https://github.com/barronalex/Tacotron
https://github.com/basveeling/wavenet
https://github.com/benmoseley/simple-wavenet
https://github.com/bigpon/QPPWG
https://github.com/bigpon/vcc20_baseline_cyclevae
https://github.com/bloodraven66/deepforcedaligner
https://github.com/bossemel/NAF-Python3
https://github.com/bradyneal/causal-benchmark
https://github.com/bradyneal/realcause
https://github.com/brightlaboratory/polydl
PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives
https://github.com/bshall/Tacotron
Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis
https://github.com/cadia-lvl/fastspeech2
https://github.com/caillonantoine/waveflow
https://github.com/cchinchristopherj/Concert-of-Whales
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
https://github.com/cecile-hi/regularized-adaptive-weight-modification
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
https://github.com/choiHkk/Transformer-TTS
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/christopher-beckham/annotated-conditional-diffusion
Conditional Diffusion Probabilistic Model for Speech Enhancement
https://github.com/ciaua/score_lyrics_free_svg
https://github.com/cnlinxi/style-token_tacotron2
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/codetendolkar/tacotron-2-explained
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/collabora/whisperspeech
https://github.com/coreyoconnor/tensorderp
https://github.com/creotiv/RussianTTS-Tacotron2
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/cyhuang-tw/speechcaps
PromptTTS: Controllable Text-to-Speech with Text Descriptions
https://github.com/dada-bots/dadabots_sampleRNN
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.