Speech Recognition Performance for Cochlear Implant Audio Processors in Mandarin Speakers

A clinical study of 51 native Mandarin-speaking cochlear implant users, testing speech perception across five audio processor configurations. The dataset includes monosyllabic word, disyllabic word, and sentence recognition scores in quiet and noise conditions. The research was authored by Kailong Yin and published on figshare in April 2026.

Use Cases

• Compare speech recognition performance between legacy and upgraded audio processor models based on the five tested configurations.
• Analyze the impact of omnidirectional versus adaptive intelligence microphone modes on sentence recognition in noise.
• Investigate speech perception benefits across clinical subgroups, such as pediatric versus adult users, as mentioned in the description.
• Benchmark cochlear implant performance for tonal languages using monosyllabic and disyllabic word recognition scores in quiet.

Strengths

• Includes data from 51 participants, providing a basis for statistical analysis.
• Compares five specific audio processor configurations, including legacy, SONNET 2, and RONDO 3 models.
• Reports results from multiple standardized speech recognition tests (monosyllabic words, disyllabic words, sentences).
• Uses confirmatory statistical methods like linear mixed-effects models for the primary endpoint.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 14.3 KB, indicating limited scope, likely containing summary results rather than raw trial data.

Provenance

Source

figshare, authored by Kailong Yin.

Collection Method

Prospective single-subject repeated-measures study.

Freshness

Last updated 2026-04-23 05:34:35; freshness should be verified.

Geography

Study focused on native Mandarin-speaking cochlear implant users.