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Found 7 papers, 1 papers with code
CorrectSpeech: A Fully Automated System for Speech Correction and Accent Reduction
This study extends our previous work on text-based speech editing to developing a fully automated system for speech correction and accent reduction.
Reducing language context confusion for end-to-end code-switching automatic speech recognition
Training end-to-end (E2E) automatic speech recognition (ASR) systems for code-switching is known to be a challenging problem because of the lack of data compounded by the increased language context confusion due to the presence of more than one language.
CCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation detection and diagnosis
The encoder of CCA-MDD consists of a conv-Transformer network based streaming acoustic encoder and an improved cross-attention named coupled cross-attention (CCA).
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion
This paper presents the design, implementation and evaluation of a speech editing system, named EditSpeech, which allows a user to perform deletion, insertion and replacement of words in a given speech utterance, without causing audible degradation in speech quality and naturalness.
Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization
Such systems are particularly susceptible to domain mismatch where the training and testing data come from the source and target domains respectively, but the two domains may differ in terms of speech stimuli, disease etiology, etc.
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion
One-shot voice conversion (VC), which performs conversion across arbitrary speakers with only a single target-speaker utterance for reference, can be effectively achieved by speech representation disentanglement.
Unified Mandarin TTS Front-end Based on Distilled BERT Model
The front-end module in a typical Mandarin text-to-speech system (TTS) is composed of a long pipeline of text processing components, which requires extensive efforts to build and is prone to large accumulative model size and cascade errors.
