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Text to Speech
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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.
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https://github.com/Baichenjia/Tensorflow-TCN
https://github.com/CSTR-Edinburgh/ophelia
https://github.com/Chasm4359/ProTS
https://github.com/CorentinJ/Real-Time-Voice-Cloning
https://github.com/DevonFulcher/CryptoPricePredictor
https://github.com/Edresson/SC-GlowTTS
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
https://github.com/GNovich/Talk2Me
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/GPUPhobia/vocal-mask
https://github.com/Gal1eo/DT2119
https://github.com/Garvit-32/Non-Attentive-Tacotron
https://github.com/HaiFengZeng/clari_wavenet_vocoder
https://github.com/HawkAaron/warp-transducer
https://github.com/HsiehKang/wavenet/blob/main/wavenet.ipynb
https://github.com/IMDxD/NonAttentiveTacotron
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https://github.com/JoungheeKim/Non-Attentive-Tacotron
https://github.com/KathyReid/opensource-voice-tools
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
https://github.com/Kyubyong/dc_tts
https://github.com/Kyubyong/tacotron
https://github.com/LucaHermes/lightweight-motion-forecasting
https://github.com/MS-P3/code7/tree/main/univnet
https://github.com/MSRDL/Deep4Cast
https://github.com/Mind23-2/MindCode-101/tree/main/IntegralNeuralNetworks
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
https://github.com/Mind23-2/MindCode-106
https://github.com/Mind23-2/MindCode-3/tree/main/IntegralNeuralNetworks
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
https://github.com/MindCode-4/code-1/tree/main/univnet
https://github.com/MindCode-4/code-3/tree/main/fastspeech2_conformer
Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study
https://github.com/MindCode-4/code-5/tree/main/univnet
https://github.com/MindSpore-paper-code-2/code399/tree/main/wavenet
https://github.com/MindSpore-paper-code-3/code2/tree/main/crnn_seq2seq_ocr
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS
https://github.com/MindSpore-scientific-2/code-11/tree/main/SING
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
https://github.com/MindSpore-scientific-2/code-11/tree/main/ZoneoutRNN
A Comparative Study on Transformer vs RNN in Speech Applications
https://github.com/MindSpore-scientific-2/code-7/blob/main/ms_spike_rev_reuse.py
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
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