https://github.com/BME-SmartLab/txt-ult2wav
공식 코드Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input
Papers with Code 아카이브
Text-To-Speech Synthesis
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Text-To-Speech Synthesis is a machine learning task that involves converting written text into spoken words. The goal is to generate synthetic speech that sounds natural and resembles human speech as closely as possible.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BME-SmartLab/txt2ult
공식 코드https://github.com/Choddeok/EmoSphere-TTS
공식 코드https://github.com/ETZET/SpeechEmotionAVLearning
공식 코드Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech
https://github.com/Edresson/ZS-TTS-Evaluation
공식 코드XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model
https://github.com/Emotional-Text-to-Speech/dl-for-emo-tts
공식 코드https://github.com/Helsinki-NLP/prosody
공식 코드Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
https://github.com/IS2AI/Kazakh_TTS
공식 코드KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset
https://github.com/MingruiYuan/SpoofSV
공식 코드Spoofing Speaker Verification Systems with Deep Multi-speaker Text-to-speech Synthesis
https://github.com/MoonInTheRiver/DiffSinger
공식 코드DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
https://github.com/NVIDIA/flowtron
공식 코드Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
https://github.com/PaddlePaddle/PaddleSpeech
공식 코드https://github.com/Rongjiehuang/FastDiff
공식 코드FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
https://github.com/Rongjiehuang/GenerSpeech
공식 코드GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
https://github.com/Rongjiehuang/Multi-Singer
공식 코드Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus
https://github.com/Rongjiehuang/ProDiff
공식 코드ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
https://github.com/WangHelin1997/SSR-Speech
공식 코드SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis
https://github.com/alibaba-damo-academy/funcodec
공식 코드FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
https://github.com/b04901014/FG-transformer-TTS
공식 코드Fine-grained style control in Transformer-based Text-to-speech Synthesis
https://github.com/b04901014/mqtts
공식 코드A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
https://github.com/bootphon/articulatory_inversion
공식 코드Independent and automatic evaluation of acoustic-to-articulatory inversion models
https://github.com/c3imaging/child_tts_fastpitch
공식 코드Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning
https://github.com/choijeongsoo/utut
공식 코드Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translation
https://github.com/collectivat-dev/espanyol-ladino-translation
공식 코드Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
https://github.com/collectivat-dev/judeo-espanyol-resources
공식 코드Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
https://github.com/collectivat-dev/ladino_tts
공식 코드Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
https://github.com/coqui-ai/TTS
공식 코드YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
https://github.com/daisyqk/automatic-prosody-annotation
공식 코드Automatic Prosody Annotation with Pre-Trained Text-Speech Model
https://github.com/dapwner/cvae-tacotron
공식 코드Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder
https://github.com/digitalphonetics/ims-toucan
공식 코드Meta Learning Text-to-Speech Synthesis in over 7000 Languages
https://github.com/gokulkarthik/text2speech
공식 코드Towards Building Text-To-Speech Systems for the Next Billion Users
https://github.com/google-research-datasets/common-crawl-domain-names
공식 코드https://github.com/huawei-noah/Speech-Backbones
공식 코드Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
https://github.com/iamanigeeit/present
공식 코드https://github.com/ictnlp/streamspeech
공식 코드StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
https://github.com/idiap/bayesian-peft
공식 코드Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.