Proposal of Protocols for Speech Materials Acquisition and Presentation Assisted By Tools Based on Structured Test Signals

We propose protocols for acquiring speech materials, making them reusable for future investigations, and presenting them for subjective experiments. We also provide means to evaluate existing speech materials' compatibility with target applications. We built these protocols and tools based on structured test signals and analysis methods, including a new family of the Time-Stretched Pulse (TSP). Over a billion times more powerful computational (including software development) resources than a half-century ago enabled these protocols and tools to be accessible to under-resourced environments.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/o-cocosda64382.2024.10800149
Citations
1
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
0.35
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article

Proposal of Protocols for Speech Materials Acquisition and Presentation Assisted By Tools Based on Structured Test Signals

Kohei Yatabe, Hideki Kawahara, Mitsunori Mizumachi, Ken‐Ichi Sakakibara
1 citations
Speech Recognition and Synthesis
0.35
article

Proposal of Protocols for Speech Materials Acquisition and Presentation Assisted By Tools Based on Structured Test Signals

Kohei Yatabe, Hideki Kawahara, Mitsunori Mizumachi, Ken‐Ichi Sakakibara
article en
1 citations

Abstract

We propose protocols for acquiring speech materials, making them reusable for future investigations, and presenting them for subjective experiments. We also provide means to evaluate existing speech materials' compatibility with target applications. We built these protocols and tools based on structured test signals and analysis methods, including a new family of the Time-Stretched Pulse (TSP). Over a billion times more powerful computational (including software development) resources than a half-century ago enabled these protocols and tools to be accessible to under-resourced environments.

Health Sciences University of Hokkaido (JP), Kyushu Institute of Technology (JP), Wakayama University (JP), Tokyo University of Agriculture and Technology (JP)
Openalex Percentile: Top 30%
Speech Recognition and Synthesis
0.35
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