English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A practical speech audiometry tool is the digits-in-noise (DIN) test forhearing screening of populations of varying ages and hearing status. The testis usually conducted by a human supervisor (e.g., clinician), who scores theresponses spoken by the listener, or online, where a software scores theresponses entered by the listener. The test has 24 digit-triplets presented inan adaptive staircase procedure, resulting in a speech reception threshold(SRT). We propose an alternative automated DIN test setup that can evaluatespoken responses whilst conducted without a human supervisor, using theopen-source automatic speech recognition toolkit, Kaldi-NL. Thirtyself-reported normal-hearing Dutch adults (19-64 years) completed oneDIN+Kaldi-NL test. Their spoken responses were recorded, and used forevaluating the transcript of decoded responses by Kaldi-NL. Study 1 evaluatedthe Kaldi-NL performance through its word error rate (WER), percentage ofsummed decoding errors regarding only digits found in the transcript comparedto the total number of digits present in the spoken responses. Average WERacross participants was 5.0% (range 0 - 48%, SD = 8.8%), with average decodingerrors in three triplets per participant. Study 2 analysed the effect thattriplets with decoding errors from Kaldi-NL had on the DIN test output (SRT),using bootstrapping simulations. Previous research indicated 0.70 dB as thetypical within-subject SRT variability for normal-hearing adults. Study 2showed that up to four triplets with decoding errors produce SRT variationswithin this range, suggesting that our proposed setup could be feasible forclinical applications.

Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?