Papers with Code 아카이브
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.
https://github.com/serp-ai/bark-with-voice-clone
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/sewplay/demos
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
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/soobinseo/transformer-tts
https://github.com/soumimaiti/speechlmscore_tool
SpeechLMScore: Evaluating speech generation using speech language model
https://github.com/sriharireddypusapati/speech-to-text-wavenet2
https://github.com/stdereka/liverpool-ion-switching
https://github.com/suno-ai/bark
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/supertone-inc/super-monotonic-align
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
https://github.com/swasun/VQ-VAE-Speech
https://github.com/swatsw/isg_official
https://github.com/tarepan/jsss
JSSS: free Japanese speech corpus for summarization and simplification
https://github.com/tartunlp/transformertts
https://github.com/text-to-audio/make-an-audio
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
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/tuanh123789/AdaSpeech
https://github.com/tugstugi/pytorch-dc-tts
https://github.com/ucsd-dsc-arts/dsc160-final-dsc160-final-group19
https://github.com/ung200/thats-what-obama-said
https://github.com/unilight/seq2seq-vc
https://github.com/vardaan123/ParaNet
https://github.com/vicky-hnk/time-flex
https://github.com/vincentherrmann/pytorch-wavenet
https://github.com/vohoaiviet/voice-vector
https://github.com/wataru-nakata/fastspeech2-jsut
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/wenet-e2e/wetts
Unified Mandarin TTS Front-end Based on Distilled BERT Model
https://github.com/wesbz/SoundStream
https://github.com/xcmyz/FastSpeech
https://github.com/yanggeng1995/EATS
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