Papers with Code 아카이브
Text to Speech
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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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/yanggeng1995/GAN-TTS
https://github.com/yangyucheng000/University/tree/main/model-2/fastspeech2_conformer
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/yangyucheng000/University/tree/main/model-3/seamless_m4t
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
https://github.com/yebiny/DepthOfAnaesthesia_eeg
https://github.com/yistLin/FragmentVC
https://github.com/yistlin/universal-vocoder
https://github.com/yl4579/StyleTTS2
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions
https://github.com/yl4579/pl-bert
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions
https://github.com/ylacombe/dataspeech
Natural language guidance of high-fidelity text-to-speech with synthetic annotations
https://github.com/yoshifumi-nakano/visual-text-to-speech
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/yxlu-0102/MP-SENet
Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis
https://github.com/zain-jiang/speech-editing-toolkit
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion
https://github.com/zengchang233/xiaoicesing2
https://github.com/zhangbo2008/fastSpeeck2_chinese_train
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/zhong110020/Tensorflow-TCN
https://github.com/zhong110020/keras-tcn
https://github.com/zll1996/TCN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.