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Kiyoshi Honda

5 accepted papers

2022

Compressing Transformer-Based ASR Model by Task-Driven Loss and Attention-Based Multi-Level Feature Distillation

ICASSP 2022accepted

The current popular knowledge distillation (KD) methods effectively compress the transformer-based end-to-end speech recognition model. However, existing methods fail to utilize complete information of the teacher model, and they distill only a limited number of blocks of the teacher model. In this…

Cited by 0SourceScholar
2021

Portable Photoglottography for Monitoring Vocal Fold Vibrations in Speech Production

ICASSP 2021accepted

Photoglottography (PGG) is an effective method to monitor vocal fold vibrations via measuring light transmission across the glottis. The difficulty in operation however limits its wide use in speech studies. This paper is to realize a portable PGG (P-PGG) module with an audio interface to record glo…

Cited by 0SourceScholar
2020

Retrieving Vocal-Tract Resonance and anti-Resonance From High-Pitched Vowels Using a Rahmonic Subtraction Technique

ICASSP 2020accepted

Vocal tract resonances give rise to core spectral information of speech signals. Linear prediction and cepstral methods are widely used for this purpose. However, both approaches are prone to fail as the fundamental frequency (F0) rises. In this study, a new cepstral method is developed combined wit…

Cited by 0SourceScholar
2019

Glottographic and Aerodynamic Analysis on Consonant Aspiration and Onset F0 in Mandarin Chinese

ICASSP 2019accepted

Stop consonants in Mandarin Chinese are all voiceless at word-initial positions only showing aspirated and unaspirated distinctions. Between the two phonation types, voice onset time (VOT) shows a clear contrast in duration, whereas voice onset fundamental frequency (onset F0) does not, as seen in p…

Cited by 0SourceScholar
2015

Vocal responses to frequency modulated composite sinewaves via auditory and vibrotactile pathways

ICASSP 2015accepted

Feedback control mechanisms for speaking have been examined using the transformed auditory feedback (TAF) technique. Previous studies have shown that speakers demonstrate fundamental frequency (F0) changes when they monitor their voice with artificial alterations of F0. However, those studies undere…

Cited by 0SourceScholar