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Research on Speech Enhancement Algorithm Based on TMS320C55x DSP
Author: YinWenZuo
Tutor: ChengWenQing
School: Huazhong University of Science and Technology
Course: Communication and Information
Keywords: Digital Signal Processor Speech Enhancement Adaptive noise cancellation Recursive least squares algorithm The cumulative amount TMS320C55x
CLC: TN912.3
Type: Master's thesis
Year: 2005
Downloads: 497
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Abstract
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Speech enhancement is an important branch of speech signal processing , speech coding , speech recognition, speech synthesis technology is an important pre - processing aspects . With the development of communication technology of mobile voice services and human-computer interaction , speech enhancement and its practical application to become the digitized communication is an important research direction . In recent years, rapid development of high-speed digital signal processor ( DSP ) is designed specifically for digital signal processing algorithm has been widely used in communications , voice, image , and other fields . Research and development projects of the DSP-based voice processing platform as the background, thematic studies and to achieve real-time speech enhancement algorithm based on DSP voice processing platform . In this thesis, starting from the basic theory of adaptive filter , to study the principles of linear least square criteria and based on this standard recursive least squares ( RLS ) algorithm . Further analysis and research by the RLS algorithm developed from the two voice enhancement algorithms - RLS algorithm based on the the delay improved noise cancellation algorithm based on the cumulative amount of the RLS algorithm ( CRLs ) . Improved Delay noise cancellation algorithm based on simplified RLS algorithm is proposed and implemented on the basis of the master TI's fixed-point digital signal processing chip TMS320C55x features and the actual development process , also CRLS algorithm is implemented in real time on the DSP platform . Finally , detailed testing of two algorithms filtering performance and real-time performance . Experiments show that the simplified RLS algorithm the delay improved noise cancellation algorithm and CRLS algorithm these two algorithms can meet the requirements of the system , but the real-time performance and noise filtration performance of the two algorithms are equally significant in practical applications as needed Make a selection.
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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing
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