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Found 8 papers, 1 papers with code
learning discriminative features from spectrograms using center loss for speech emotion recognition
Identifying the emotional state from speech is essential for the natural interaction of the machine with the speaker.
Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-trained BERT
The pre-trained BERT model extracts semantic features from a raw Chinese character sequence and the NN based classifier predicts the polyphonic character's pronunciation according to BERT output.
Multi-modal Adversarial Training for Zero-Shot Voice Cloning
The discriminator is used in a training pipeline that improves both the acoustic and prosodic features of a TTS model.
RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction
Recent advancements in generative modeling have significantly enhanced the reconstruction of audio waveforms from various representations.
Ranked #5 on
Speech Synthesis
on LibriTTS
Cloning one's voice using very limited data in the wild
(2) How to clone a person's voice while controlling the style and prosody.
Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network
By using deep learning approaches, Speech Emotion Recog-nition (SER) on a single domain has achieved many excellentresults.
Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams
Recent approaches mainly have following limitations: 1) most speaker-independent methods need handcrafted features that are time-consuming to design or unreliable; 2) there is no convincing method to support multilingual or mixlingual speech as input.
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement
Firstly, the speech synthesis model is pre-trained with both multi-speaker clean data and noisy augmented data; then the pre-trained model is adapted on noisy low-resource new speaker data; finally, by setting the clean speech condition, the model can synthesize the new speaker's clean voice.
