2015/08/03 by Sivanand Achanta, Anandaswarup Vadapalli, Achanta, Sivanand +5
Computer Science · Mathematics · #Algorithm #Amplitude #Cepstrum #Computation and Language (cs.CL) #Computer science #Domain (mathematical analysis) #Envelope (radar) #FOS: Computer and information sciences #Fourier domain #Fourier transform #Frequency domain #Mathematical analysis #Mathematics #Music and Audio Processing #Optics #Parametric statistics #Parametrization (atmospheric modeling) #Physics #Sound (cs.SD) #Spectral density estimation #Spectral envelope #Speech Recognition and Synthesis #Speech and Audio Processing #Speech recognition #Statistics #Telecommunications #cs.CL #cs.SD
paper · pdf · doi:10.48550/arxiv.1508.00354
published in arXiv (Cornell University) (Cornell University)
arxiv created 2015/08/03 · openalex publication_date 2015/08/03 · arxiv updated 2015/08/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In this paper we propose a technique for spectral envelope estimation using maximum values in the sub-bands of Fourier magnitude spectrum (MSASB). Most other methods in the literature parametrize spectral envelope in cepstral domain such as Mel-generalized cepstrum etc. Such cepstral domain representations, although compact, are not readily interpretable. This difficulty is overcome by our method which parametrizes in the spectral domain itself. In our experiments, spectral envelope estimated using MSASB method was incorporated in the STRAIGHT vocoder. Both objective and subjective results of analysis-by-synthesis indicate that the proposed method is comparable to STRAIGHT. We also evaluate the effectiveness of the proposed parametrization in a statistical parametric speech synthesis framework using deep neural networks.