This paper presents NIDA, a Non-Intrusive Disconnection-aware vocal quality assessment Algorithm. NIDA accurately estimates vocal perceived quality over wireless data networks by discriminating the perceptual effect of a single random packet loss, 2-4 consecutive packet losses (burst) stemming from contentions, and discontinuity entailed by transient loss of connectivity. NIDA properly accounts...

In this paper, we propose a unique approach to enhance speech signals that have been corrupted by non-stationary noises. This approach is not based on a spectral subtraction algorithm, but on an algorithm that separates the speech signal and noise signal contributions in the autocorrelation domain. We call this technique the AR-HASE speech enhancement algorithm. In this initial study, we evalua...

Automatic speech recognition from multiple distant microphones poses significant challenges because of noise and reverberations. The quality of speech acquisition may vary between microphones because of movements of speakers and channel distortions. This paper proposes a channel selection approach for selecting reliable channels based on selection criterion operating in the short-term modulatio...

In this paper, we propose a dual-microphone target-directional speech enhancement system utilizing target-to-non-target directional signal ratio (TNR) based on dual-microphone phase differences in adverse noise environments. One of the important issues associated with multi-microphone speech enhancement methods is the effective utilization of spatial cues such as phase differences for target-sp...

The G.722 wideband speech codec offers higher quality and better naturalness than G.711, is low in complexity, has low delay, and tandems well with other codecs. This makes it an attractive codec for Voice over IP and Voice over Wireless LANs. However, loss of a G.722 coded speech frame results in a mismatch of the encoder/decoder states that affects the decoding of subsequent correctly receive...

Wepresent an example of an anthropomorphic approach, in which auditory-based cues are combined with temporal correlation to implement a source separation system. The auditory features are based on spectral amplitude modulation and energy information obtained through 256 cochlear filters. Segmentation and binding of auditory objects are performed with a two-layered spiking neural network. The fi...

While temporal envelope and fine-structure cues are known to be good predictors for speech intelligibility, it is not clear how well they are correlated with subjective quality ratings, particularly those using noise-suppressed speech. The present work evaluated the performance of two objective measures (i.e., NCM and TFSS), which were originally developed with primarily envelope or fine-struct...

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...

33 Abstract This paper presents a new method for the objective quality assessment of speech signals, named Objective Assessment of Speech Signals (OASS). The proposal represents an improvement of a previous method (MOQV), with two new features: 1) a routine to detect and correct variable delays between the original and degraded signals; 2) a new psycho-acoustic model for the ear. The paper deta...