[Paper 리뷰] ClariTTS: Feature-ratio Normalization and Duration Stabilization for Code-Mixed Multi-Speaker Speech Synthesis
ClariTTS: Feature-ratio Normalization and Duration Stabilization for Code-Mixed Multi-Speaker Speech SynthesisText-to-Speech model에서 code-mixed text는 speaker-related feature에 source language에 대한 linguistic feature가 포함될 수 있으므로 unnatural accent를 생성할 수 있음ClariTTSFlow-based text-to-speech model에 Feature-ratio Normalized Affine Coupling Layer를 적용- Speaker와 linguistic feature를 disentangle 하여 target sp..
[Paper 리뷰] VoiceTailor: Lightweight Plug-In Adapter for Diffusion-based Personalized Text-to-Speech
VoiceTailor: Lightweight Plug-In Adapter for Diffusion-based Personalized Text-to-SpeechPre-trained diffusion-based model에 personalized adapter를 결합하여 parameter-efficient speaker adaptive Text-to-Speech를 수행할 수 있음VoiceTailorParameter-Efficient Adaptation을 위해 Low-Rank Adaptation을 활용하고 adapter를 pre-trained diffusion decoder의 pivotal module에 통합Few parameter 만으로 강력한 adaptation을 달성하기 위해 guidance techni..
[Paper 리뷰] UnitSpeech: Speaker-Adaptive Speech Synthesis with Untranscribed Data
UnitSpeech: Speaker-Adaptive Speech Synthesis with Untranscribed DataMinimal untranscribed data를 사용하여 diffusion-based text-to-speech model을 fine-tuning 할 수 있음UnitSpeechSelf-supervised unit representation을 pseudo transcript로 사용하고 unit encoder를 pre-trained text-to-speech model에 integrate 함Unit encoder를 training 하여 diffusion-based decoder에 speech content를 제공한 다음, single $\langle \text{unit},\text{s..
[Paper 리뷰] Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
Fast DCTTS: Efficient Deep Convolutional Text-to-SpeechSingle CPU에서 real-time으로 동작하는 end-to-end text-to-speech model이 필요함Fast DCTTS다양한 network reduction과 fidelity improvement technique을 적용한 lightweight networkGating mechanism의 efficiency와 regularization effect를 고려한 group highway activation을 도입추가적으로 output mel-spectrogram의 fidelity를 측정하는 Elastic Mel-Cepstral Distortion metric을 설계논문 (ICASSP 2021) ..
[Paper 리뷰] EmoQ-TTS: Emotion Intensity Quantization for Fine-Grained Controllable Emotional Text-to-Speech
EmoQ-TTS: Emotion Intensity Quantization for Fine-Grained Controllable Emotional Text-to-SpeechEmotional text-to-speech를 위해 대부분은 emotion label이나 reference audio에 의존함- BUT, utterance-level emotion condition으로 인해 expression이 monotonous 하다는 한계가 있음EmoQ-TTSFine-grained emotion intensity와 phoneme-wise emotion information을 conditioning하여 expressive speech를 합성Emotion intensity는 human labeling 없이 distanc..
[Paper 리뷰] QI-TTS: Question Intonation Control for Emotional Speech Synthesis
QI-TTS: Question Intonation Control for Emotional Speech SynthesisExpressive text-to-speech는 intonation과 같은 fine-grained style이 무시되는 경우가 많음QI-TTSReference speech의 emotion을 transfer 하면서 questioning intonation을 효과적으로 deliver 하기 위해 2가지의 서로 다른 level에서 style embedding을 추출하는 multi-style extractor를 활용Fine-grained intonation control을 위해 relative attribute를 통해 syllable level에서 intonation intensity를 repre..