Papers with Code 아카이브
Text to Speech
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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import gTTS import os def text_to_speech_kurdish(text, output_file="output.mp3"): # گۆڕینی نووسین بۆ دەنگ بە زمانی کوردی (هەڵبژاردنی زمانی "ku" بۆ کوردی) tts = gTTS(text=text, lang='ku', slow=False) tts.save(output_file) os.system(f"start {output_file}") # کردنەوەی فایلە دەنگییەکە (لە Windows) # نموونە: text_to_speech_kurdish("سڵاو، ئەمە دەنگی منە بە زمانی کوردی.")
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/WLM1ke/poptimizer
https://github.com/Wataru-Nakata/miipher
https://github.com/WelkinYang/GradTTS
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
https://github.com/YuvalBecker/MelNet
MelNet: A Generative Model for Audio in the Frequency Domain
https://github.com/YuvalBecker/MelNet-Tensorflow
MelNet: A Generative Model for Audio in the Frequency Domain
https://github.com/ZTianle/keras-tcn-solar
https://github.com/ZhouYuxuanYX/Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting
https://github.com/adelacvg/ns2vc
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
https://github.com/adityaagrawal7/speech-to-text-wavenet
https://github.com/adityapandya1/review-of-DCTTS
https://github.com/ai-s2-lab/fluenteditor
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion
https://github.com/ai-unicamp/tts-objective-metrics
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/ai4bharat/indic-tts
Towards Building Text-To-Speech Systems for the Next Billion Users
https://github.com/albarji/neurowriter
https://github.com/alisterta/Persian-text-to-speech
https://github.com/anandaswarup/TTS
https://github.com/anandaswarup/waveRNN
https://github.com/anandharaju/Basic_TCN
https://github.com/andabi/deep-voice-conversion
https://github.com/andabi/voice-vector
https://github.com/andi611/Self-Supervised-Speech-Pretraining-and-Representation-Learning
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/ankurdhuriya/multispeaker-glow-tts
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
https://github.com/as-ideas/ForwardTacotron
https://github.com/as-ideas/TransformerTTS
https://github.com/as-ideas/deepforcedaligner
https://github.com/as-ideas/deepphonemizer
https://github.com/ashishpatel26/tcn-keras-Examples
https://github.com/avanitanna/robustfragmentvc
https://github.com/avi33/StyleMelGan-Unofficial
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization
https://github.com/avi33/universalmelgan
Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains
https://github.com/awslabs/gluon-ts
https://github.com/balan/text-to-speech
https://github.com/barronalex/Tacotron
https://github.com/basveeling/wavenet
https://github.com/benmoseley/simple-wavenet
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