1 citations · 1 across the 3 of their papers we have counts for
4 papers
A Pilot Study of Applying Sequence-to-Sequence Voice Conversion to Evaluate the Intelligibility of L2 Speech Using a Native Speaker's Shadowings
Haopeng Geng, Daisuke Saito, Nobuaki Minematsu
Utterances by L2 speakers can be unintelligible due to mispronunciation and improper prosody. In computer-aided language learning systems, textual feedback is often provided using…
Simulating Native Speaker Shadowing for Nonnative Speech Assessment with Latent Speech Representations
Haopeng Geng, Daisuke Saito, Nobuaki Minematsu
Evaluating speech intelligibility is a critical task in computer-aided language learning systems. Traditional methods often rely on word error rates (WER) provided by automatic spe…
Exploring Isolated Musical Notes as Pre-training Data for Predominant Instrument Recognition in Polyphonic Music
Lifan Zhong, Erica Cooper, Junichi Yamagishi +1
With the growing amount of musical data available, automatic instrument recognition, one of the essential problems in Music Information Retrieval (MIR), is drawing more and more at…
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder
Yi Zhao, Shinji Takaki, Hieu-Thi Luong +3
Recent neural networks such as WaveNet and sampleRNN that learn directly from speech waveform samples have achieved very high-quality synthetic speech in terms of both naturalness…