https://github.com/0913ktg/sc_vall-e
공식 코드SC VALL-E: Style-Controllable Zero-Shot Text to Speech Synthesizer
Papers with Code 아카이브
Text to Speech
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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/0nutation/slmtokbench
공식 코드SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
https://github.com/0nutation/speechgpt
공식 코드SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation
https://github.com/0nutation/uslm
공식 코드SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
https://github.com/3dmaisons/af-mnt
공식 코드https://github.com/AIGeeksGroup/PresentAgent
공식 코드PresentAgent: Multimodal Agent for Presentation Video Generation
https://github.com/Ashigarg123/ShiftySpeech
공식 코드ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts
https://github.com/AzamRabiee/subband-TTS
공식 코드A Fully Time-domain Neural Model for Subband-based Speech Synthesizer
https://github.com/BME-SmartLab/UTI-to-STFT-Tacotron2
공식 코드https://github.com/BME-SmartLab/txt-ult2wav
공식 코드Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input
https://github.com/BME-SmartLab/txt2ult
공식 코드https://github.com/Berthaniu/LatentOptimalPathsBayesianDP
공식 코드Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
https://github.com/BiSinger-SVS/BiSinger
공식 코드https://github.com/BytedanceSpeech/seed-tts-eval
공식 코드Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
https://github.com/Choddeok/EmoSphere-TTS
공식 코드https://github.com/Choddeok/EmoSpherepp
공식 코드EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
https://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/Ereboas/TacoLM
공식 코드https://github.com/IDEA-Emdoor-Lab/UniTTS
공식 코드UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information
https://github.com/IS2AI/Kazakh_TTS
공식 코드KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset
https://github.com/JaejinCho/espnet_spkidtts
공식 코드https://github.com/KamruzzamanAsif/BanglaFake
공식 코드BanglaFake: Constructing and Evaluating a Specialized Bengali Deepfake Audio Dataset
https://github.com/KevinMIN95/StyleSpeech
공식 코드Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
https://github.com/KunZhou9646/seq2seq-EVC
공식 코드https://github.com/Kyubyong/css10
공식 코드CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
https://github.com/LetterLiGo/SafeEar
공식 코드SafeEar: Content Privacy-Preserving Audio Deepfake Detection
https://github.com/MarkWuNLP/SemanticMask
공식 코드Semantic Mask for Transformer based End-to-End Speech Recognition
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/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch
공식 코드https://github.com/NVIDIA/NeMo
공식 코드Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
https://github.com/NVIDIA/flowtron
공식 코드Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
https://github.com/Nandutu/luganda_dataset
공식 코드https://github.com/NetaGlazer/ADD-GP
공식 코드Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
https://github.com/Niger-Volta-LTI/yoruba-adr
공식 코드Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language Text
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