https://github.com/b04901014/mqtts
공식 코드A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.")
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
Visualising Model Training via Vowel Space for Text-To-Speech Systems
Independent and automatic evaluation of acoustic-to-articulatory inversion models
Massively Multilingual Neural Grapheme-to-Phoneme Conversion
Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint
Time out of Mind: Generating Rate of Speech conditioned on emotion and speaker
Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translation
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource Languages
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
Automatic Prosody Annotation with Pre-Trained Text-Speech Model
Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation
HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to Speech
EmoNews: A Spoken Dialogue System for Expressive News Conversations
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy
Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data
Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark
Improving TTS for Shanghainese: Addressing Tone Sandhi via Word Segmentation
ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit
Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model
VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.