Hand tearing "Speech Signal Processing" - a collection of easy-to-understand chapters on speech signal processing

Chapter 1 (Time-Frequency Domain Characteristics of Speech Signals):

        Section 1: Using MATLAB to collect and read and write speech signals_2. Basic principles of speech signal collection_Qingquan_Liuxiang Blog-CSDN Blog

        Section 2: The Process of Speech Signal Processing and Its Application_Qingquan_Liuxiang Blog-CSDN Blog

        Section 3: Short-term time-domain analysis of speech signals_Time-domain analysis of speech signals_Qingquan_Liuxiang's Blog-CSDN Blog

        Section 4: Short-term frequency domain analysis of speech signals_Time domain and frequency domain analysis of speech signals_Qingquan_流声的博客-CSDN博客

 Chapter 2 (Analytic Characteristics of Speech Signals in Other Domains): 

        Section 1: Cepstrum Analysis of Speech Signal and Its Application Cases_Cepstrum Analysis of Speech Signal

        Section 2: Discrete Cosine Transform (DCT) of Speech Signal and Its Application Cases_With the torch_dct library, how to call the dct function_Qingquan_流声的博客-CSDN Blog

        Section 3: The basic concept of Melbankm frequency cepstrum coefficient (MFCC)_melbankm function_Qingquan_流声的博客-CSDN Blog

        Section 4: Calculation of Mel frequency cepstral coefficient (MFCC) and its application cases_mfcc feature extraction diagram_Qingquan_流声的博客-CSDN Blog

        Section 5: Speech Quality Evaluation and Intelligibility Evaluation_Qingquan_Liuxiang Blog-CSDN Blog 

Chapter 3 (Adaptive Filter Principle and Practice):

        Section 1: Adaptive filter principle - common structure of adaptive filter_Qingquan_Liuxiang Blog-CSDN Blog

        Section 2: Adaptive Filter Principle - Least Mean Square Algorithm (LMS)_Qingquan_Liuxiang Blog-CSDN Blog

        Section 3: Adaptive Filter Principle - (Power) Normalized Least Mean Square Algorithm (NLMS/PNLMS)_Qingquan_Liuxiang Blog-CSDN Blog

        Section 4: Adaptive filter principle - variable step size LMS (VSS LMS)

        Section 5: Adaptive Filter Principle - Block LMS Algorithm (BLMS)_Qingquan_流声博客-CSDN Blog

        Section 6: Adaptive Filter Principle - Frequency Domain Blocking LMS Algorithm (FDAF)_Qingquan_Liuxiang Blog-CSDN Blog

        Section 7: Adaptive Filter Principle - Recursive Least Squares (RLS)_Qingquan_Liuxiang's Blog-CSDN Blog

        Section 8: Adaptive Filter Principle - Affine Projection Algorithm (AP)_Qingquan_Liuxiang's Blog-CSDN Blog

        Section 9: Adaptive Filter Principle - Sparse Class Adaptive Algorithm (PNLMS)_Qingquan_Liuxiang's Blog-CSDN Blog

        Section 10: Adaptive Filter Principle - Subband Adaptive Filter (SAF)_Qingquan_Liuxiang Blog-CSDN Blog

Chapter Four (Speech Enhancement Principles and Practice):

        Section 1: Traditional Speech Enhancement - Basic Spectrum Subtraction_Speech Enhancement Spectrum Subtraction_Qingquan_Liuxiang's Blog-CSDN Blog

        Section 2: Speech Enhancement - Basic Spectral Subtraction and Its Python Implementation_Speech Signal Enhancement Python Based on Spectral Subtraction_Qingquan_流声的博客-CSDN Blog

        Section 3: Traditional Speech Enhancement - Boll's Improved Spectral Subtraction_Speech Enhancement Improved by Spectral Subtraction_Qingquan_Liuxiang's Blog-CSDN Blog

        Section 4: Speech Enhancement - Improvement of Spectral Subtraction (Oversubtraction) and Its Python Implementation

        Section 5: Traditional Speech Enhancement - Basic Wiener Filter Speech Noise Reduction Algorithm_Wiener Filter Speech Enhancement_Qingquan_Liuxiang Blog-CSDN Blog

        Section 6: Traditional Speech Enhancement - Wiener Filter Speech Noise Reduction Algorithm Based on Prior Signal-to-Noise Ratio

        Section 7: Traditional Speech Enhancement - Least Mean Square (LMS) Adaptive Filtering Algorithm_lms Adaptive Filtering CCS3.3 Implementation_Qingquan_流声的博客-CSDN博客

        Section 8: Traditional Speech Enhancement - Speech Noise Reduction Algorithm Based on Wavelet Decomposition

        Section 9: Speech Enhancement - DNN (Deep Neural Network) Spectrum Mapping_matlab implements dnn-based spectrum mapping_Qingquan_流声的博客-CSDN Blog

Chapter 5 (Echo Cancellation (AEC) Principles and Practice):

        Section 1: Echo Cancellation (AEC) Principles, Algorithms and Practical Combat - AEC Background Introduction_Qingquan_Liuxiang Blog-CSDN Blog

        Section 2: Echo Cancellation (AEC) Principles, Algorithms and Practical Combat - LMS (Least Mean Square)_AEC Algorithm Principle_Qingquan_Liuxiang Blog-CSDN Blog

        Section 3: Echo Cancellation (AEC) Principles, Algorithms and Practice - BLMS (Block Least Mean Square)_blms Algorithm_Qingquan_Liuxiang Blog-CSDN Blog

        Section 4: Echo Cancellation (AEC) Principles, Algorithms and Practice - NLMS (Normalized Least Mean Square)_nlms Algorithm_Qingquan_流声的博客-CSDN博客

        Section 5: Echo Cancellation (AEC) Principles, Algorithms and Actual Combat - BNLMS (Block Normalized Least Mean Square)_Qingquan_Liuxiang Blog-CSDN Blog

        Section 6: Echo Cancellation (AEC) Principles, Algorithms and Practice - Recursive Least Squares (RLS) _rls Algorithm C Language Implementation_Qingquan_流声的博客-CSDN Blog

        Section 7: Echo Cancellation (AEC) Principles, Algorithms and Practice - Kalman Filter_Qingquan_Liuxiang Blog-CSDN Blog

        Section 8: Echo Cancellation (AEC) Principles, Algorithms and Practice - Frequency Domain Block LMS Adaptive Filtering Algorithm (FDAF)_Frequency Domain LMS Algorithm_Qingquan_流声的博客-CSDN Blog