Theory and Applications of Digital Speech Processing
By Lawrence R. Rabiner, R. Schafer. 2010
409 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/f1cc31c72e025229c4b919906e6dd77aa72a841f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Mirco Ravanelli
- Yoshua Bengio
- Zhibin Zhao
- Tianfu Li
- Chuang Sun
- Xuefeng Chen
- Kyunghyun Cho
- Quoc V. Le
Citations in the corpus
- Speaker Recognition from Raw Waveform with SincNet (2018, methodology): “After returning to the time domain (using the inverse Fourier transform [35]), the reference function g becomes: where the sinc function is defined as sinc ( x ) = sin ( x ) /x .”
- Interpretable Convolutional Filters with SincNet (2018, methodology): “A popular solution to mitigate this issue is windowing [43].”
- WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis (2019, background): “Normally, the first layer of a standard CNN performs a set of time-domain convolutions between the input signal and some finite impulse response (FIR) filters [36].”