Sentence examples for improving intelligibility from inspiring English sources

However, for hearing aid applications, speech enhancement at low SNRs must be considered for two reasons: (1) the SNRs often found in the environment span the range of −10 to 5 dB and should therefore be included in the evaluation of algorithms for hearing aids [17] and (2) the SRT point, at which there is highest potential for improving intelligibility, is often found at negative SNRs.

Nevertheless, as small improvements of a few dB might improve intelligibility significantly, a large SNR improvement is not always necessary.

Spectral subtraction based on perceptual properties has been investigated to improve intelligibility and quality of the speech signals[7 9].

An energy redistribution voiced/unvoiced (ERVU) method was proposed to improve intelligibility without increasing the output power [16].

The optimal solution of the mathematical model is used to preprocess the output speech to improve intelligibility.

Other methods pre-compensate the output speech by obtaining the optimal solution of the established mathematical model to improve intelligibility [21, 22].

The simulations demonstrate the ability of the adaptive subband communication algorithm to adjust automatically the speech signal gain for improved intelligibility while maintaining healthy noise exposure levels.

The primary goal of robust speech processing techniques is to improve intelligibility and quality of noise corrupted speech in perspective human listeners and modify the same and extract robust features that lead to improved performance for speech recognition systems.

Although it can be expected that an SNR improvement in frequency regions important for speech recognition would result in higher speech recognition, the gains obtained in intelligibility-weighted SNR can only be related to the potential of this system to improve intelligibility.

The results of the video-coding analysis further demonstrated that, during instruction, students were pushed by prompts to improve intelligibility mainly through the adjustment of interlanguage strategies (e.g., prolonging the phonemic length), and by recasts to refine accuracy in their /ɹ/ production.

Starting with a listener-oriented categorisation of possible goals for speech modification, this review article summarises the extensive set of behavioural findings related to human speech modification, identifies which factors appear to be beneficial, and goes on to examine previous computational attempts to improve intelligibility in noise.