"基于 Matlab 的语音信号采集与频谱分析及滤波效果研究"

The report "Speech signal acquisition and spectrum analysis (with code).pdf" details a comprehensive analysis of speech signal processing using MATLAB and Adobe Audition. The project encompasses the collection of original speech signals using an iPhone, converting them to WAV format, and conducting time-domain analysis. The study also includes Fourier transform analysis to examine the frequency domain, with the visualization of spectrograms to compare individual speech signals with background music. Furthermore, the study explores the effects of adding two types of noise to the speech signals, comparing the spectrograms and conducting a listening test to compare the before and after effects of adding noise. Additionally, the report delves into the design and analysis of FIR digital low-pass and bandpass filters, examining their effects on the spectrograms and conducting additional listening tests. The project offers valuable insights into speech signal processing, providing a deeper understanding of the practical application of FFT, spectrogram visualization, noise effects, and filter design in the context of speech signals. The comprehensive analysis and findings contribute to the existing body of knowledge in the field of signal and system processing, and offer potential applications in various domains such as speech recognition, audio enhancement, and communication systems.