Evaluating the Generalization of the Hearing Aid Speech Quality Index (HASQI)

Kressner, Abigail A.; Anderson, David V.; Rozell, C.

doi:10.1109/tasl.2012.2217132

Cited by 21 publications

(11 citation statements)

References 21 publications

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“…Since SegSNR is better correlated with Mean Opinion Score (MOS) than SNR as indicated by (Kressner et al, 2013) and is easy to implement and it has been widely used to qualify the enhanced speech. The implementation in (Valentini-Botinhao et al, 2011) is adopted here such that each frame with segmental SNR is thresholded by a dB lower bound and a 35 dB higher bound.…”

Section: Resultsmentioning

confidence: 99%

A Novel Speech Enhancement Approach Based on Modified DCT and Improved Pitch Synchronous Analysis

Balaji¹

2014

American Journal of Applied Sciences

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Speech enhancement has become an essential issue within the field of speech and signal processing, because of the necessity to enhance the performance of voice communication systems in noisy environment. There has been a number of research works being carried out in speech processing but still there is always room for improvement. The main aim is to enhance the apparent quality of the speech and to improve the intelligibility. Signal representation and enhancement in cosine transformation is observed to provide significant results. Discrete Cosine Transformation has been widely used for speech enhancement. In this research work, instead of DCT, Advanced DCT (ADCT) which simultaneous offers energy compaction along with critical sampling and flexible window switching. In order to deal with the issue of frame to frame deviations of the Cosine Transformations, ADCT is integrated with Pitch Synchronous Analysis (PSA). Moreover, in order to improve the noise minimization performance of the system, Improved Iterative Wiener Filtering approach called Constrained Iterative Wiener Filtering (CIWF) is used in this approach. Thus, a novel ADCT based speech enhancement using improved iterative filtering algorithm integrated with PSA is used in this approach.

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Section: Resultsmentioning

confidence: 99%

A Novel Speech Enhancement Approach Based on Modified DCT and Improved Pitch Synchronous Analysis

Balaji¹

2014

American Journal of Applied Sciences

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“…The performance of the proposed algorithm was compared with that of the conventional bilateral algorithm, a fixed asymmetric DM algorithm that sets the left device to DM mode (null direction is automatically adjusted to 180°, 210°, 240°, and 270° depending on the directional variation of the DN) and the right device to OM mode (no role‐switching between devices). To quantitatively evaluate the performance of the algorithms being tested in each scenario, the values of four popular objective indices—output SNR, Perceptual Evaluation of Speech Quality (PESQ) , and the Hearing Aid Speech Quality Indices for intelligibility (HASQI_i) and combinational quality (HASQI_q)—were calculated .…”

Section: Methodsmentioning

confidence: 99%

A New Asymmetric Directional Microphone Algorithm With Automatic Mode‐Switching Ability for Binaural Hearing Support Devices

et al. 2015

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For hearing support devices, it is important to minimize the negative effect of ambient noises for speech recognition but also, at the same time, supply natural ambient sounds to the hearing-impaired person. However, conventional fixed bilateral asymmetric directional microphone (DM) algorithms cannot perform in such a way when the DM-mode device and a dominant noise (DN) source are placed on the same lateral hemisphere. In this study, a new binaural asymmetric DM algorithm that can overcome the defects of conventional algorithms is proposed. The proposed algorithm can estimate the position of a specific DN in the 90°-270° range and switch directional- and omnidirectional-mode devices automatically if the DM-mode device and the DN are placed in opposite lateral hemispheres. Computer simulation and KEMAR mannequin recording tests demonstrated that the performance of the conventional algorithm deteriorated when the DM-mode device and the DN were placed in the opposite hemisphere; in contrast, the performance of the proposed algorithm was consistently maintained regardless of directional variations in the DN. Based on these experimental results, the proposed algorithm may be able to improve speech quality and intelligibility for hearing-impaired persons who have similar degrees of hearing impairment in both ears.

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“…In addition, HASQI has been validated by several perceptual quality experiments. 3,[13][14][15] HASQI is therefore sensitive to changes in the speech spectrum introduced by acoustic feedback, whistling or ringing in the HA, and any nonlinear distortion introduced by the feedback-cancellation processing.…”

Section: Hasqimentioning

confidence: 99%

Speech quality and stable gain trade-offs in adaptive feedback cancellation for hearing aids

Lee

Kates

Rao

et al. 2017

The Journal of the Acoustical Society of America

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This paper addresses trade-offs in adaptive feedback cancellation (AFC) for hearing aids. Aggressive AFC for improved added stable gain (ASG) reduces speech quality. In this paper, the hearing-aid speech quality index (HASQI) is used to investigate AFC performance before the system becomes unstable. It is demonstrated that for a desired speech quality, multiple AFC algorithms can be evaluated for their ASG and computational efficiency. An example is presented with HASQI ¼ 0.8, baseline AFC, and two advanced approaches. For the advanced AFCs, ASG gains of 4 and 7 dB were obtained at additional computational complexity of 8% and 11%, respectively.

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Evaluating the Generalization of the Hearing Aid Speech Quality Index (HASQI)

Cited by 21 publications

References 21 publications

A Novel Speech Enhancement Approach Based on Modified DCT and Improved Pitch Synchronous Analysis

A Novel Speech Enhancement Approach Based on Modified DCT and Improved Pitch Synchronous Analysis

A New Asymmetric Directional Microphone Algorithm With Automatic Mode‐Switching Ability for Binaural Hearing Support Devices

Speech quality and stable gain trade-offs in adaptive feedback cancellation for hearing aids

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