2023 Fiscal Year Final Research Report
Exploration the acoustic characteristics of voice disordes using mathematical audirtory periphery model
| Project/Area Number |
20K20222
|
|---|
| Research Category |
Grant-in-Aid for Early-Career Scientists
|
| Allocation Type | Multi-year Fund |
|---|
| Review Section |
Basic Section 90130:Medical systems-related
|
|---|
| Research Institution | Kyoto University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2020-04-01 – 2024-03-31
|
| Keywords | 聴覚末梢系 / 数理モデル / 構音障害 |
|---|
| Outline of Final Research Achievements |
Aiming to clarify the characteristics of the "texture" of hoarseness and unpleasant sounds that humans intuitively evaluate, we developed a new analysis method that can express time domain information at high resolution using a mathematical model of the peripheral auditory system, and implemented the analysis program using a GPGPU. We investigated methods to obtain the characteristics of the texture of unpleasant sounds and use the obtained feature representation as input for deep learning, but new issues were found, such as the large size of the model. On the other hand, the new representation that combines time and frequency resolution brought about by the proposed method was found to be able to visualize and analyze transient phenomena in the frequency structure of consonants and semivowels in an unprecedented way, for example, when analyzing speech that contains many transient phenomena.
|
| Free Research Field |
音声障害、音声信号処理
|
| Academic Significance and Societal Importance of the Research Achievements |
本手法がもたらす時間・周波数分解能を両立した表現は、過渡現象を多く含む語音の解析において、既存手法にない特徴表現を可能としており、構音障害の診療において新たな治療・リハビリテーション法につながる可能性がある。
|
