Oct 22, 2024 · The features including zero-crossing rate (ZCR), energy, pitch, autocorrelation , linear predictive coding (LPC) are found useful in the V/UV ...

In this letter, we propose an approach to incorporate a statistical model for the voiced/unvoiced (V/UV) speech decision under background noise environments.

Our approach consists of splitting the input noisy speech into two separate bands and applying a statistical model for each band. We compute and compare the ...

<http://purl.org/dc/terms/title>. "a statistical model based v uv decision under background noise environments"^^<http://www.w3.org/2001/XMLSchema#string>. 5.

A Statistical Model-Based V/UV Decision under Background Noise Environments. Autores: Joong Hyuk Chang, Nam Soo Kim, Sanjit K. Mitra; Localización: IEICE ...

Next to it a decision rule and a background noise statistics estimator, by applying a statistical model. A robust decision rule is derived from the ...

Three approaches for detecting unvoiced speech from additive background noise have been developed. Two of which are very effective in the presence of additive ...

According to our simulation results, the proposed algorithm shows significantly better performance in low signal-to-noise ratio and in noisy environments.

The binaural processing of noisy signals has shown to be more effective than processing the noisy signal independently at each ear due to the utilization of ...

A Statistical Model-Based V/UV Decision under Background Noise Environments · Joong Hyuk Chang, Nam Soo Kim, Sanjit K. Mitra. págs. 2885-2887. Artículo. The ...