Dsp algorithm for voice analysis

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Effective DSP algorithms for voice analysis include techniques for feature extraction and compensation, as highlighted in a Microsoft paper comparing two such algorithms. The book "Computational Auditory Scene Analysis: Principles, Algorithms, and Applications" serves as a comprehensive resource on the subject. Key discussions emphasize the importance of accurate feature extraction for improving voice recognition and analysis. The resources provided offer foundational knowledge and practical insights into implementing these algorithms. Understanding these principles is crucial for advancing voice analysis technology.
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What are good dsp algorithms for voices analysis?

input from a computer microphone
 
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