Sentence examples for system for speech from inspiring English sources

This article proposes an improved CASA system for speech separation.

Figure 10 Block diagram of proposed system for speech recognition incorporating the speech mode changes between neutral and whispered speech.

This would for example disqualify a system for speech synthesis based on text files as a candidate for applying the procedure.

In this contribution, a dynamic multi-channel system for speech signal enhancement in an automotive environment with distributed speaker-dedicated microphones has been presented.

In this contribution, a generic overall system for speech enhancement of distributed microphone signals is proposed, where each speaker has only one dedicated microphone.

Harnad (1982 , 1987 postulates a system for speech perception in which input is represented both as analog representations that are faithful to the physical spectrotemporal properties and instance-to-instance variations in the signal and as a categorical representation that retains only the invariant information across different instances of the category.

Psychoacoustic research in ASA has inspired considerable work in developing Computational Auditory Scene Analysis (CASA) systems for speech separation (see [6, 7] for a comprehensive review).

Several existing CASA systems for speech separation have used the envelope of filter outputs for autocorrelation calculation in the high frequency range, with the intention of encoding the beating phenomenon resulting from unresolved harmonics in high frequency (e.g., [8]).

While the system has been originally developed to enhance speech in noisy environments, we show in this article that it is also effective in suppressing reverberation, thus leading to a generic trainable multi-channel speech enhancement system for robust speech processing.

Since the 1930s, when Homer Dudley of Bell Laboratories proposed a system model for speech analysis and synthesis (Dudley, 1939; Dudley et al., 1939), the problem of automatic speech recognition has been approached progressively, from a simple machine that responds to a small set of sounds to a sophisticated system that responds to fluently spoken natural language.

We evaluated the separation performance of the proposed system and compared it with the Hu Wang tandem system for the speech segregation tasks with artificially mixed speech data.