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In noise, the ASR apps performed more poorly than most profoundly deaf people using a hearing aid or cochlear implant. For Dutch audiological speech tests in quiet, ASR apps performed similarly to a person with a moderate hearing loss. Overall, the word error rate for the dialogue in English (19–34%) was lower (better) than for the Dutch dialogue (25–66%).Ĭonclusion: The performance of the apps was limited on audiological tests that provide little linguistic context or use low signal to noise levels. The lowest signal-to-noise measured with the Plomp-test was +8 to 9 dB for Earfy (Android) and Live Transcribe (Android). On the DIN-test, AVA and Live Transcribe had the lowest (best) signal-to-noise ratio +8 dB. Results: All apps scored at least 50% phonemes correct on the Dutch CNC-test for a conversational speech intensity level (65 dB SPL) and achieved 90–100% phoneme recognition at higher intensity levels. For comparison, the app's ability to transcribe a spoken dialogue (Dutch and English) was tested.

The Dutch audiological speech tests performed were speech audiometry in quiet (Dutch CNC-test), Digits-in-Noise (DIN)-test with steady-state speech-shaped noise, sentences in quiet and in averaged long-term speech-shaped spectrum noise (Plomp-test). Methods: Four apps have been tested on a smartphone, respectively AVA, Earfy, Live Transcribe, and Speechy. In addition, we compare ASR speech recognition performance to normal hearing and hearing impaired listeners and evaluate if standard clinical audiological tests are a meaningful and quick measure of the performance of ASR apps. This pilot study aims to examine the speech recognition performance of ASR apps using audiological speech tests. Objective: Automated speech recognition (ASR) systems have become increasingly sophisticated, accurate, and deployable on many digital devices, including on a smartphone. 3Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands.2Pento Audiological Center Twente, Hengelo, Netherlands.1Department of Otorhinolaryngology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands.Leontien Pragt 1 *, Peter van Hengel 1,2, Dagmar Grob 3 and Jan-Willem A.