https://github.com/anandaswarup/phrase_break_prediction
공식 코드An investigation of phrase break prediction in an End-to-End TTS system
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Audio-visual speech recognition is the task of transcribing a paired audio and visual stream into text.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
An investigation of phrase break prediction in an End-to-End TTS system
An investigation of phrase break prediction in an End-to-End TTS system
Fine-grained style control in Transformer-based Text-to-speech Synthesis
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
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech Recognition
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
Tailored Design of Audio-Visual Speech Recognition Models using Branchformers
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.