A study of the perceptual relevance of the burst phase of stop consonants with implications in speech coding
| Autor: | Roch Lefebvre, Vincent Santini, Philippe Gournay |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Voice activity detection
Computer science Speech recognition media_common.quotation_subject Speech coding 020206 networking & telecommunications 02 engineering and technology Intelligibility (communication) Linear predictive coding ENCODE 030507 speech-language pathology & audiology 03 medical and health sciences Stop consonant Perception 0202 electrical engineering electronic engineering information engineering 0305 other medical science Transform coding media_common |
| Zdroj: | MMSP |
| DOI: | 10.1109/mmsp.2016.7813374 |
| Popis: | Stop consonants are an important constituent of the speech signal. They contribute significantly to its intelligibility and subjective quality. However, because of their dynamic and unpredictable nature, they tend to be difficult to encode using conventional approaches such as linear predictive coding and transform coding. This paper presents a system to detect, segment, and modify stop consonants in a speech signal. This system is then used to assess the following hypothesis: Muting the burst phase of stop consonants has a negligible impact on the subjective quality of speech. The muting operation is implemented and its impact on subjective quality is evaluated on a database of speech signals. The results show that this apparently drastic alteration has in reality very little perceptual impact. The implications for speech coding are then discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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