Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017606098> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2017606098 endingPage "411" @default.
- W2017606098 startingPage "402" @default.
- W2017606098 abstract "In Brief Objectives: The aim of this study is to assess the influence of the shape of the acoustic-to-electric mapping function on speech recognition in noise by cochlear implant listeners. Design: A new acoustic-to-electric mapping function is proposed for cochlear implant users in noisy environments. The proposed s-shaped mapping function was expansive for low input levels up to a knee point level and compressive thereafter. The knee point of the mapping functions changed dynamically and was set proportional to the estimated noise floor level. The performance of the mapping function was evaluated on a sentence recognition task using IEEE sentences embedded in +5 to 10 dB SNR multitalker babble and in +5 dB SNR speech-shaped noise. Nine postlingually deafened cochlear implant users participated in the study. Results: Results indicated that the same s-shaped mapping function did not yield significant improvements for all cochlear implant users. Significant benefits in speech intelligibility were observed, however, when the s-shaped mapping function was optimized to individual cochlear implant users. Significantly higher performance was achieved with the s-shaped mapping functions than the conventional log mapping function used by cochlear implant users in their daily strategy, in both multitalker (+5 and +10 dB SNR) and continuous speech-shaped (+5 dB SNR) conditions. Conclusions: These results clearly indicate that the shape of the nonlinear acoustic-to-electric mapping can have a significant effect on speech intelligibility in noise when it is optimized to individual cochlear implant users. The log functions currently used in most implant processors for mapping acoustic to electric amplitudes are not the best mapping functions to use in noisy environments. This is largely because compressive functions tend to amplify low-level segments of speech along with noise, thereby decreasing the spectral contrast and effective dynamic range. In contrast, the s-shaped mapping functions, which are partly compressive and partly expansive depending on the signal level, are more suitable for noisy environments and can produce significantly higher performance than the log-mapping functions. A new acoustic-to-electric mapping function is proposed for cochlear implant (CI) users in noisy environments. The proposed s-shaped mapping function was expansive for low input levels up to a knee point level and compressive thereafter. The knee point of the mapping functions changed dynamically and was set proportional to the estimated noise floor level. The performance of the mapping function was evaluated on a sentence recognition task using IEEE sentences embedded in +5–10 dB SNR multitalker babble and in +5 dB SNR speech-shaped noise. Nine postlingually deafened cochlear implant users participated in the study. Results indicated that the same s-shaped mapping function did not yield significant improvements for all CI users. Significant benefits in speech intelligibility were observed, however, when the s-shaped mapping function was optimized to individual CI users." @default.
- W2017606098 created "2016-06-24" @default.
- W2017606098 creator A5060419450 @default.
- W2017606098 creator A5067323425 @default.
- W2017606098 date "2007-06-01" @default.
- W2017606098 modified "2023-10-16" @default.
- W2017606098 title "Use of S-Shaped Input-Output Functions for Noise Suppression in Cochlear Implants" @default.
- W2017606098 cites W1967844488 @default.
- W2017606098 cites W1969126167 @default.
- W2017606098 cites W1975675577 @default.
- W2017606098 cites W1981775927 @default.
- W2017606098 cites W1983852109 @default.
- W2017606098 cites W1984421695 @default.
- W2017606098 cites W2001523629 @default.
- W2017606098 cites W2010296113 @default.
- W2017606098 cites W2013630629 @default.
- W2017606098 cites W2014938809 @default.
- W2017606098 cites W2023233074 @default.
- W2017606098 cites W2034071334 @default.
- W2017606098 cites W2049239690 @default.
- W2017606098 cites W2059606265 @default.
- W2017606098 cites W2064136978 @default.
- W2017606098 cites W2067976101 @default.
- W2017606098 cites W2073480463 @default.
- W2017606098 cites W2075364277 @default.
- W2017606098 cites W2093860432 @default.
- W2017606098 cites W2094114297 @default.
- W2017606098 cites W2155998647 @default.
- W2017606098 cites W2402811972 @default.
- W2017606098 doi "https://doi.org/10.1097/aud.0b013e31804793c4" @default.
- W2017606098 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17485989" @default.
- W2017606098 hasPublicationYear "2007" @default.
- W2017606098 type Work @default.
- W2017606098 sameAs 2017606098 @default.
- W2017606098 citedByCount "16" @default.
- W2017606098 countsByYear W20176060982012 @default.
- W2017606098 countsByYear W20176060982013 @default.
- W2017606098 countsByYear W20176060982015 @default.
- W2017606098 countsByYear W20176060982017 @default.
- W2017606098 countsByYear W20176060982018 @default.
- W2017606098 countsByYear W20176060982019 @default.
- W2017606098 countsByYear W20176060982020 @default.
- W2017606098 crossrefType "journal-article" @default.
- W2017606098 hasAuthorship W2017606098A5060419450 @default.
- W2017606098 hasAuthorship W2017606098A5067323425 @default.
- W2017606098 hasConcept C111472728 @default.
- W2017606098 hasConcept C115961682 @default.
- W2017606098 hasConcept C121332964 @default.
- W2017606098 hasConcept C138885662 @default.
- W2017606098 hasConcept C154945302 @default.
- W2017606098 hasConcept C24890656 @default.
- W2017606098 hasConcept C2778882171 @default.
- W2017606098 hasConcept C28490314 @default.
- W2017606098 hasConcept C41008148 @default.
- W2017606098 hasConcept C548259974 @default.
- W2017606098 hasConcept C60048801 @default.
- W2017606098 hasConcept C71924100 @default.
- W2017606098 hasConcept C99498987 @default.
- W2017606098 hasConceptScore W2017606098C111472728 @default.
- W2017606098 hasConceptScore W2017606098C115961682 @default.
- W2017606098 hasConceptScore W2017606098C121332964 @default.
- W2017606098 hasConceptScore W2017606098C138885662 @default.
- W2017606098 hasConceptScore W2017606098C154945302 @default.
- W2017606098 hasConceptScore W2017606098C24890656 @default.
- W2017606098 hasConceptScore W2017606098C2778882171 @default.
- W2017606098 hasConceptScore W2017606098C28490314 @default.
- W2017606098 hasConceptScore W2017606098C41008148 @default.
- W2017606098 hasConceptScore W2017606098C548259974 @default.
- W2017606098 hasConceptScore W2017606098C60048801 @default.
- W2017606098 hasConceptScore W2017606098C71924100 @default.
- W2017606098 hasConceptScore W2017606098C99498987 @default.
- W2017606098 hasIssue "3" @default.
- W2017606098 hasLocation W20176060981 @default.
- W2017606098 hasLocation W20176060982 @default.
- W2017606098 hasOpenAccess W2017606098 @default.
- W2017606098 hasPrimaryLocation W20176060981 @default.
- W2017606098 hasRelatedWork W2008337846 @default.
- W2017606098 hasRelatedWork W2020377430 @default.
- W2017606098 hasRelatedWork W2027737812 @default.
- W2017606098 hasRelatedWork W2042669811 @default.
- W2017606098 hasRelatedWork W2044044661 @default.
- W2017606098 hasRelatedWork W2248440417 @default.
- W2017606098 hasRelatedWork W2293519710 @default.
- W2017606098 hasRelatedWork W2313388787 @default.
- W2017606098 hasRelatedWork W2399164752 @default.
- W2017606098 hasRelatedWork W2606814881 @default.
- W2017606098 hasVolume "28" @default.
- W2017606098 isParatext "false" @default.
- W2017606098 isRetracted "false" @default.
- W2017606098 magId "2017606098" @default.
- W2017606098 workType "article" @default.