Results of the Improvement on Synthesis System's Speech Quality for Spanish Using Adaptive Automatas

2010 ◽  
Author(s):  
Rosalia Caya ◽  
Claudia Zapata
Keyword(s):  
Speech Quality

Can latent speech quality dimensions be quantified directly?

2010 ◽  
Author(s):  
Marcel Wältermann ◽  
Alexander Raake ◽  
Sebastian Möller
Keyword(s):  
Speech Quality ◽  
Quality Dimensions

Performance-Based Measurement of Speech Quality with an Audio Proof-Reading Task

2010 ◽  
Author(s):  
Mark Huckvale ◽  
Gaston Hilkhuysen ◽  
Deizom Frasi
Keyword(s):  
Speech Quality ◽  
Reading Task ◽  
Proof Reading

Performance analysis of various training targets for improving speech quality and intelligibility

2021 ◽  
Vol 175 ◽  
pp. 107817
Author(s):  
Shoba Sivapatham ◽  
Asutosh Kar ◽  
Rajavel Ramadoss
Keyword(s):  
Performance Analysis ◽  
Speech Quality

scholarly journals A Robust Dual-Microphone Generalized Sidelobe Canceller Using a Bone-Conduction Sensor for Speech Enhancement

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1878
Author(s):  
Yi Zhou ◽  
Haiping Wang ◽  
Yijing Chu ◽  
Hongqing Liu
Keyword(s):  
Speech Enhancement ◽  
Speech Intelligibility ◽  
Bone Conduction ◽  
Speech Quality ◽  
Generalized Sidelobe Canceller ◽  
Spatially Distributed ◽  
Interference Signals ◽  
Adaptive Noise ◽  
Adaptive Noise Canceller ◽  
Sidelobe Canceller

The use of multiple spatially distributed microphones allows performing spatial filtering along with conventional temporal filtering, which can better reject the interference signals, leading to an overall improvement of the speech quality. In this paper, we propose a novel dual-microphone generalized sidelobe canceller (GSC) algorithm assisted by a bone-conduction (BC) sensor for speech enhancement, which is named BC-assisted GSC (BCA-GSC) algorithm. The BC sensor is relatively insensitive to the ambient noise compared to the conventional air-conduction (AC) microphone. Hence, BC speech can be analyzed to generate very accurate voice activity detection (VAD), even in a high noise environment. The proposed algorithm incorporates the VAD information obtained by the BC speech into the adaptive blocking matrix (ABM) and adaptive noise canceller (ANC) in GSC. By using VAD to control ABM and combining VAD with signal-to-interference ratio (SIR) to control ANC, the proposed method could suppress interferences and improve the overall performance of GSC significantly. It is verified by experiments that the proposed GSC system not only improves speech quality remarkably but also boosts speech intelligibility.

Speech Quality Improvement of Commercial Flat Screen TV-Sets

2021 ◽  
pp. 1-11
Author(s):  
Arianna Astolfi ◽  
Fabrizio Riente ◽  
Louena Shtrepi ◽  
Alessio Carullo ◽  
Leonardo Scopece ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Speech Quality ◽  
Flat Screen

scholarly journals Speech Quality of Computer‐Simulated Voice‐Switched Amplifiers

1973 ◽  
Vol 53 (1) ◽  
pp. 322-322
Author(s):  
Herman R. Silbiger ◽  
Richard E. Cullingford ◽  
Linda Pierce
Keyword(s):  
Speech Quality
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