This study tested the importance of F0 variation for tone language comprehension. The intelligibility of Mandarin sentences with natural F0 contours was compared to the intelligibility of monotone (flat-F0) sentences created via speech resynthesis. In a quiet background, flat-F0 speech was just as intelligible as natural speech (about 94% intelligible), highlighting the robustness of the langua...

The coronavirus pandemic has resulted in the recommended/required use of face masks public. a mask compromises communication, especially presence competing noise. It is crucial to measure potential effects wearing on speech intelligibility noisy environments where excessive background noise can create communication challenges. transparent and using clear facilitate better verbal were evaluated ...

Temporal modulation processing is a promising technique for improving the intelligibility and quality of speech in noise. We propose enhancement algorithm that constructs temporal envelope (TEV) time-frequency domain by means an embedded convolutional neural network (CNN). To accomplish this, input signals are divided into sixteen parallel frequency bands (subbands) with bandwidths approximatin...

The extent to which audibility determines speech recognition depends on a number of signal and listener factors. This study focused on three factors: age, background noise modulation, and linear versus wide-dynamic compression amplification. Three audiometrically matched groups of older listeners with hearing loss were tested to determine at what age performance declined relative to that expect...

The main goal of the research was to obtain a set data for ability speech in noise recognition using Polish word test (New Articulation Lists – NAL-93) with two different masking signals. attempt also made standardise background tests by creating babble NAL-93. Two types were used and noise. short method chosen study as it provided similar results constant stimuli less material. experiment both...

We previously proposed a forward masking on a generalized logarithmic scale to eliminate convolutional noise as well as to suppress additive noise. While the generalized Dynamic Cepstrum derived from the masked spectrum has been robust to both noises, the robustness to convolutional noise slightly degrades as compared to masking on the logarithmic scale, and the optimal masking coefficient depe...

A speech enhancement scheme is presented integrating spatial and temporal signal processing methods for blind denoising in non stationary noise environments. In a first stage, spatially localized interferring point sources are separated from noisy speech signals recorded by two microphones using a Blind Source Separation (BSS) algorithm assuming no a priori knowledge about the sources involved....

How people recognize linguistic and emotional prosody in different listening conditions is essential for understanding the complex interplay between social context, cognition, communication. The perception of both lexical tones depends on prosodic features including pitch, intensity, duration, voice quality. However, it unclear which aspect perceptually more salient resistant to noise. This stu...