![]() The relationship between DFT and DHT is made use of for finding the cepstral coefficients, rather than using the DFTĭirectly. ![]() The Inverse Continuous Hartley Transform (ICHT) was again defined by Hartley originally as (1) is called the Analysis Equation of the CHT. In Signal Processing terms, this transform takes a signal (function) from the time- domain to the Hartley spectral domain (frequency domain). Is the cosine-and-sine or Hartley kernel. DFT being a complex transform takes more computation time for finding the cepstral coefficients of the speech signal, but DHT being a real transform takes less computation time to do the same with less memory requirement. A new approach of finding the cepstral coefficients in the frequency domain using DHT, rather than using the DFT is proposed. In the frequency domain using Discrete Fourier Transform (DFT) based approach. Note thatĪnalysis of speech was carried out using in temporal domain and 4 4 Here, is the angular frequency in rad/sec. Senior Professor, ECE Dept, Don Bosco Institute of Technology,Ībstract This paper presents Cepstral analysis of speech signal using Discrete Hartley Transform. Senior Assistant Professor, ECE Dept, New Horizon College of Engineering, Bangalore, INDIA. Cepstral Analysis of Speech using Discrete Hartley Transform
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