Search Results for author: Toshio Irino

Found 5 papers, 2 papers with code

GESI: Gammachirp Envelope Similarity Index for Predicting Intelligibility of Simulated Hearing Loss Sounds

no code implementations23 Oct 2023 Ayako Yamamoto, Toshio Irino, Fuki Miyazaki, Honoka Tamaru

The unique features of GESI are that i) it reflects the hearing impaired (HI) listener's HL that appears in the audiogram and is caused by active and passive cochlear dysfunction, ii) it provides a single goodness metric, as in the widely used STOI and ESTOI, that can be used immediately to evaluate SE algorithms, and iii) it provides a simple control parameter to accept the level asymmetry of the reference and test sounds and to deal with individual listening conditions and environments.

Auditory Representation Effective for Estimating Vocal Tract Information

no code implementations2 Jun 2023 Toshio Irino, Shintaro Doan

In this study, we investigated whether EP with SSI weight can accurately estimate vocal tract lengths (VTLs) which were measured by magnetic resonance imaging (MRI) in male and female subjects.

Comparison of remote experiments using crowdsourcing and laboratory experiments on speech intelligibility

no code implementations17 Apr 2021 Ayako Yamamoto, Toshio Irino, Kenichi Arai, Shoko Araki, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani

Many subjective experiments have been performed to develop objective speech intelligibility measures, but the novel coronavirus outbreak has made it very difficult to conduct experiments in a laboratory.

Speech Enhancement

Frequency domain variant of Velvet noise and its application to acoustic measurements

1 code implementation10 Sep 2019 Hideki Kawahara, Ken-Ichi Sakakibara, Mitsunori Mizumachi, Hideki Banno, Masanori Morise, Toshio Irino

We propose a new family of test signals for acoustic measurements such as impulse response, nonlinearity, and the effects of background noise.

Audio and Speech Processing Sound Signal Processing

Frequency domain variants of velvet noise and their application to speech processing and synthesis: with appendices

1 code implementation18 Jun 2018 Hideki Kawahara, Ken-Ichi Sakakibara, Masanori Morise, Hideki Banno, Tomoki Toda, Toshio Irino

One of the proposed variants, FVN (Frequency domain Velvet Noise) applies the procedure to generate a velvet noise on the cyclic frequency domain of DFT (Discrete Fourier Transform).

Sound Audio and Speech Processing Signal Processing

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