Subjective Quality Measurement of Speech: Its Evaluation, Estimation and Applications
It is becoming crucial to accurately estimate and monitor speech quality in various ambient environments to guarantee high quality speech communication. This practical hands-on book shows speech intelligibility measurement methods so that the readers can start measuring or estimating speech intelligibility of their own system. The book also introduces subjective and objective speech quality measures, and describes in detail speech intelligibility measurement methods. It introduces a diagnostic rhyme test which uses rhyming word-pairs, and includes: An investigation into the effect of word familiarity on speech intelligibility. Speech intelligibility measurement of localized speech in virtual 3-D acoustic space using the rhyme test. Estimation of speech intelligibility using objective measures, including the ITU standard PESQ measures, and automatic speech recognizers.
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2 Speech Quality
3 The Japanese Diagnostic Rhyme Test
4 The Effect of Word Familiarity on the DRT Scores
5 Examples of NoiseDegraded Speech Intelligibility Measurements Using the Japanese DRT
6 DRT Evaluation of Localized Speech Intelligibility in Virtual 3D Acoustic Space
7 Other DRT Evaluation Examples
8 Estimation of DRT Scores Using Objective Measures
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1.0 CACR estimated 24 kbps Advanced Audio Coding aoki_f kanno_f audio average babble noise beam CACR from fwSNRseg CACR versus calculated Cepstrum competing noise correct response rates degradation Diagnostic Rhyme Test distance DRT scores DRT word estimated DRT CACR evaluation female speech frequency HE-AAC individual HRTFs intelligibility tests ITU-T Joint Stereo KEMAR HRTF Kondo Listening position localized speech male speech masking match Mean Opinion Scores mean square error models and subjective monaural multi-condition multi-talker nasality noise azimuth noise level noise type noise-adapted models objective estimated objective measures overall parametric speakers parametric stereo PESQ phonetic feature pseudo-speech noise Real Sources Response Rate subjective RMSE root mean square shown sibilation SNRseg speaker gender Speaker Recognition speaker-adapted models speaker-independent models speech intelligibility speech mixed speech quality speech recognition speech samples speech with babble speech with white sustention suzuki_m miura_m target speech test:female+white test:male+babble train:female+babble train:male+white tRespons white noise word familiarity word-pair list