| M. M. Goodwin, "Adaptive signal models : theory, algorithms, and audio applications," Ph. D. dissertation, Memorandum no. UCB/ERL M97/91, Electronics Research Laboratory, College of Engineering, University of California, Berkeley, 1997. |
....synthesis data [46, 47] resulted in a custom format for neural network architectures and weights called .wt files. Michael Goodwin and Adrian Freed developed analysis and synthesis respectively for noise modeled using spectral envelopes sampled inside equal rectangular frequency bands (erb) [48]. This used a file format called erb files that gave the amplitudes inside each band over time. 3.5 Resonance Models at IRCAM and CNMAT IRCAM s work with resonance models grew from singing voice research [17, 49] based initially 5 on tracked formant analyses. A (frequency, amplitude, formant ....
M. M. Goodwin, "Adaptive signal models : theory, algorithms, and audio applications," Ph. D. dissertation, Memorandum no. UCB/ERL M97/91, Electronics Research Laboratory, College of Engineering, University of California, Berkeley, 1997.
....in the transform domain require a frequency domain description of a modulated sinusoid. The analysis side of this problem was addressed by Marques and Almeida (Marques and Almeida, 1986, Marques and Almeida, 1989) Tabei and Ueda (Tabei and Ueda, 1988) explore the synthesis issues and Goodwin (Goodwin, 1997) sought efficient algorithms for non stationary sinusoids (Goodwin and Kogon, 1995, Goodwin and Rodet, 1994) Unfortunately the key optimizations that make sinusoidal synthesis so efficient in the transform domain depend on the narrow band property of a constant frequency sine wave. This author ....
M. M. Goodwin (1997), "Adaptive signal models: theory, algorithms, and audio applications," Ph. D. dissertation, Memorandum no. UCB/ERL M97/91, Electronics Research Laboratory, College of Engineering, University of California, Berkeley.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC