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Signal estimation from modified short-time fourier transform (1984)
| Content Provider | CiteSeerX |
|---|---|
| Author | Griffin, Daniel W. Jae Lim, S. |
| Abstract | Abstract-In this paper, we present an algorithm to estimate a signal from its modified short-time Fourier transform (STFT). This algorithm is computationally simple and is obtained by minimizing the mean squared error between the STFT of the estimated signal and the modified STFT. Using this algorithm, we also develop an iterative algorithm to estimate a signal from its modified STFT magnitude. The iterative algorithm is shown to decrease, in each iteration, the mean squared error between the STFT magnitude of the estimated signal and the modified STFT magnitude. The major computation involved in the iterative algorithm is the discrete Fourier transform (DFT) computation, and the algorithm appears to be real-time implementable with current hardware technology. The algorithm developed in this paper has been applied to the time-scale modification of speech. The resulting system generates very high-quality speech, and appears to be better in performancc than any existing method. mated signal and the MSTFT. The resulting algorithm is quite simple computationally. In Section 111, the algorithm in Section I1 is used to develop an iterative algorithm that estimates a signal from the MSTFTM. The iterative algorithm is shown to decrease, in each iteration, the mean squared error between the STFTM of the estimated signal and the MSTFTM. In Section IV, we present an example of the successful application of our theoretical results. Specifically, we develop a timescale speech modification system by modifying the STFTM first and then estimating a signal from the MSTFTM using the algorithm developed in Section 111. The resulting system has been demonstrated to gene]-ate very high quality, time-scale modified speech. |
| File Format | |
| Journal | IEEE Trans. Acoustics, Speech and Sig. Proc |
| Language | English |
| Publisher Date | 1984-01-01 |
| Access Restriction | Open |
| Subject Keyword | Iterative Algorithm Short-time Fourier Transform Signal Estimation Stft Magnitude Major Computation Current Hardware Technology Modified Stft Theoretical Result Time-scale Modification High Quality Section I1 Section Iv Discrete Fourier Transform Successful Application High-quality Speech Timescale Speech Modification System Modified Stft Magnitude |
| Content Type | Text |
| Resource Type | Article |
