Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array
MetadataShow full item record
Speech signal extraction is becoming more and more important as evidently displayed by its numerous applications such as mobile phones, conference equipment and surveillance. This paper presents a blind method to enhance a speech source of interest in noisy environments. The proposed technique consists of the principal component analysis (PCA) and the independent component analysis (ICA) to extract the speech signal. In an effort to overcome the small phase resolution due to the constraint on the inter-element distance, a non-uniform spacing PCA-ICA algorithm is suggested. By utilizing a different inter-element distance processing on each pair of microphones in a multistage fashion, a better separation is achieved. Results show better separation performance for the proposed method compared to the uniformly spaced microphone array.
Showing items related by title, author, creator and subject.
Early speech motor and language skills in childhood apraxia of speech: evidence for a core deficit in speech motor control?Highman, Chantelle D. (2010)Children with childhood apraxia of speech (CAS) present with significant speech production deficits, the effects of which often persist well into late childhood (American Speech-Language-Hearing Association, 2007; Lewis, ...
Ward, Roslyn (2012)The purpose of this study is to evaluate the effectiveness of a motor speech treatment approach (PROMPT) in the management of motor-speech impairment in children with cerebral palsy. Two main objectives were addressed: ...
Enhancement of speech recognitions for control automation using an intelligent particle swarm optimizationChan, Kit Yan; Yiu, Cedric K.F.; Dillon, Tharam S.; Nordholm, Sven; Ling, S.H. (2012)For over two decades, speech control mechanisms have been widely applied in manufacturing systems such as factory automation, warehouse automation and industrial robotic control for over two decades. To implement speech ...