By Kazuhiro Kondo
It is changing into the most important to thoroughly estimate and visual display unit speech caliber in a number of ambient environments to assure top of the range speech conversation. This sensible hands-on e-book exhibits speech intelligibility size tools in order that the readers can begin measuring or estimating speech intelligibility in their personal method. The publication additionally introduces subjective and aim speech caliber measures, and describes intimately speech intelligibility dimension equipment. It introduces a diagnostic rhyme try which makes use of rhyming word-pairs, and comprises: An research into the influence of be aware familiarity on speech intelligibility. Speech intelligibility dimension of localized speech in digital three-D acoustic house utilizing the rhyme try out. Estimation of speech intelligibility utilizing target measures, together with the ITU commonplace PESQ measures, and automated speech recognizers.
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Extra info for Subjective Quality Measurement of Speech: Its Evaluation, Estimation and Applications
A head-mount electret condenser microphone was used for recording (Sennheiser HMD410). The recordings were made with a sampling frequency of 16 kHz, 16 bits/sample, monaural. The speakers were asked to speak standard Japanese dialect. The Kanji representations of the words were presented on screen, and subjects spoke the words for recording. Accents were validated off-line. We validated that all words within the same group were of the same accent. Re-recording was done with some of the words with unclear or non-conventional accents.
42 5 Examples of Noise-Degraded Speech Intelligibility Measurements 100 female Chance-Adjusted Percentage Correct Response [%] male 80 60 40 20 0 -15 -10 -5 0 5 10 15 No noise 20 SNR [dB] Fig. 11 Comparison of DRT scores of speech mixed with white noise by speaker gender (average) 100 female Chance-Adjusted Percentage Correct Response [%] male 80 60 40 20 0 -15 -10 -5 0 5 10 15 20 No noise SNR [dB] Fig. 12 Comparison of DRT scores of speech mixed with white noise by speaker gender (voicing) 3. Much less differences by features are seen with pseudo-speech and babble noise compared to white noise.
In real space, the target speech and the noise were generated from loudspeakers placed at actual source positions. , a mixture of speech recorded in a busy cafeteria. The noise sample was obtained from the Signal Processing Information Base (SPIB) page  of Rice University. 98 kHz with 16 bits per sample, and was down-sampled to 16 kHz. The target speech was collected from one female speaker. Ideally, we would have liked to use more speakers, including male speakers. However, we have already shown that, at least for simple additive noise, little difference is observed between intelligibility for male and female speakers .
Subjective Quality Measurement of Speech: Its Evaluation, Estimation and Applications by Kazuhiro Kondo