Effects of contextual cues on speech recognition in simulated electric-acoustic stimulation
| Autor: | Ying-Yee Kong, Gail S. Donaldson, Ala Somarowthu |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Speech Communication
Adult Periodicity Electric acoustic stimulation Sound Spectrography Time Factors Speech perception Adolescent Acoustics and Ultrasonics Voice Quality Computer science Speech recognition media_common.quotation_subject Speech Acoustics Young Adult Arts and Humanities (miscellaneous) Phonetics Perception Humans Computer Simulation media_common Context effect Recognition Psychology Acoustics Noise Acoustic Stimulation Speech Perception Cues Audiometry Speech Sentence |
| Zdroj: | The Journal of the Acoustical Society of America. 137:2846-2857 |
| ISSN: | 0001-4966 |
| Popis: | Low-frequency acoustic cues have shown to improve speech perception in cochlear-implant listeners. However, the mechanisms underlying this benefit are still not well understood. This study investigated the extent to which low-frequency cues can facilitate listeners' use of linguistic knowledge in simulated electric-acoustic stimulation (EAS). Experiment 1 examined differences in the magnitude of EAS benefit at the phoneme, word, and sentence levels. Speech materials were processed via noise-channel vocoding and lowpass (LP) filtering. The amount of spectral degradation in the vocoder speech was varied by applying different numbers of vocoder channels. Normal-hearing listeners were tested on vocoder-alone, LP-alone, and vocoder + LP conditions. Experiment 2 further examined factors that underlie the context effect on EAS benefit at the sentence level by limiting the low-frequency cues to temporal envelope and periodicity (AM + FM). Results showed that EAS benefit was greater for higher-context than for lower-context speech materials even when the LP ear received only low-frequency AM + FM cues. Possible explanations for the greater EAS benefit observed with higher-context materials may lie in the interplay between perceptual and expectation-driven processes for EAS speech recognition, and/or the band-importance functions for different types of speech materials. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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