A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis

Research article (2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016) · cited 34× · AI/ML
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A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis

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A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-auto-encoder-based-low-dimensional-feature-extraction-from-fft-spectral-envelopes-for-statistical-parametric-spee
MLA “A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-auto-encoder-based-low-dimensional-feature-extraction-from-fft-spectral-envelopes-for-statistical-parametric-spee.
BibTeX @misc{4ortxyz_a-deep-auto-encoder-based-low-dimensional-feature-extraction-from-fft-spectral-envelopes-for-statistical-parametric-spee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-auto-encoder-based-low-dimensional-feature-extraction-from-fft-spectral-envelopes-for-statistical-parametric-spee}, note = {Accessed: 2026-05-24}}
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