| Autor: |
Emilian-Erman, Mahmut, Stelian, Nicola, Vasile, Stoicu-Tivadar |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Studies in health technology and informatics. 272 |
| ISSN: |
1879-8365 |
| Popis: |
This paper presents an audio file segmentation method in an attempt to mitigate the issue of variable durations of the same utterance by different individuals, e.g.: Speech-Language Pathologist (SLP) and dyslalic subjects. The Method section describes the manner of determination of the maximum cross-correlation value between the 2 audio files and the subsequent automated segmentation thereof in order to extract 2 valid pronunciation samples of the target consonant. The method is aimed at pre-processing audio files and supplying homogeneously-trimmed audio samples to a computerized SSD Screening system. The results obtained on a batch of 30 pronunciations are presented and briefly discussed in the third section while the last section is reserved for conclusions and perspectives. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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