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07/06/2022
Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives
Ordinal regression with anchored reference samples (ORARS) has been prop...
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05/09/2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
Text to speech (TTS) has made rapid progress in both academia and indust...
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10/14/2021
An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings
Many mispronunciation detection and diagnosis (MD D) research approach...
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06/29/2021
A Survey on Neural Speech Synthesis
Text to speech (TTS), or speech synthesis, which aims to synthesize inte...
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02/27/2021
MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network
Mean opinion score (MOS) is a popular subjective metric to assess the qu...
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10/26/2020
Improving pronunciation assessment via ordinal regression with anchored reference samples
Sentence level pronunciation assessment is important for Computer Assist...
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01/03/2019
Feature reinforcement with word embedding and parsing information in neural TTS
In this paper, we propose a feature reinforcement method under the seque...
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12/13/2018
Modeling Multi-speaker Latent Space to Improve Neural TTS: Quick Enrolling New Speaker and Enhancing Premium Voice
Neural TTS has shown it can generate high quality synthesized speech. In...
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11/29/2018
