Eric Scheirer and Malcolm Slaney, "Construction and evaluation of a robust multifeatures speech/music discriminator," IEEE Transactions on Acoustics, Speech, and Signal Processing (ICASSP'97), 1997, pp. 1331--1334. Home/Search Document Details and Download
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....combinations. The intermediate level labels thus generated are combined for the high level rocket launch event retrieval. We used 24 dim Mel Frequency Cepstral Coefficients, common in ASR systems, as our low level features. Features used by other authors include centroid frequency, pitch etc [1, 11, 12, 13]. In the first experiment, we study the effect of using a HMM for duration modeling of a single intermediate concept (Explosion) In the second experiment, we look at the effect of different audioonly fusion strategies. We note here that Scheme 3 in section 3 can be viewed as implicit fusion ....
E. Scheirer and M. Slaney, "Construction and evaluation of a robust multifeature speech/music discriminator," in Proc. ICASSP '97, Munich, Germany, 1997, pp. 1331--1334.
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.... The power of a waveform is typically calculated on a short time basis, by windowing the waveform, as in the STFT, squaring the samples and taking the mean [83] The square root of this result is the engineering quantity known as the root mean square value, which has been used by other researchers [63, 79]. Average normalized power (P ) for a digital waveform, is equivalent to the average normalized energy (E) per sample. The definitions of these quantities, for a waveform w(t) are presented in Equations 1.1 through 1.4 [31] The value p(t) will be used throughout this work to represent the ....
....consist of periods of high power (voiced phonemes) followed by periods of low power (unvoiced phonemes, inter word pauses) while music tends to have a more consistent power distribution. A measure of the power distribution is used in [62] while a measure of the power modulation rate is used in [63], where the authors claim that speech tends to have a power modulation rate of around 4 Hz. 1.5.2 Fundamental Frequency (f 0 ) Only periodic or pseudo periodic waveforms can have a valid f 0 . Perceptually, periodic and pseudo periodic signals have a pitch. Periodic signals exactly repeat to ....
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Eric Scheirer and Malcolm Slaney. Construction and evaluation of a robust multifeature speech/music discriminator. In International Conference on Acoustics, Speech and Signal Processing, volume II, pages 1331--1334. IEEE, 1997.
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.... Energy, Low Short Time Energy Ratio, Noise Frame Ratio, Mean and Covariance of Brightness, Spectral Flux, Spectral Roll off Point, Mean and Covariance of LPC, Mean and Covariance of MFCC, Mean and Covariance of Pitch, Mean and Covariance of Band Spectrum, Mean and Covariance of Band Width [Lu01][ Scheirer97]. Nearest Neighbor Model and Gaussian Mixture Model are trained by TREC 10 Videos. Applying these trained models on 1 second window, we can get the type of each window. In our submission, Run01 uses NN Model and Run02 uses 16 mixture GMM Model. The Ranking Value of speech, music and monologue ....
E. Scheirer and M. Slaney, Construction and Evaluation of a Robust Multifeature Music/Speech Discriminator, Proc. of ICASSP'97, vol. II, pp 1331-1334. IEEE, April 1997
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....of the signal was divided into frames of 50 ms overlapping by 10 ms, and the power inside every frame was calculated. The four used features were the variance of the frame by frame power, and the variance of the first and the second order differentials of the power, and finally, low energy ratio [5], which is computed as the percentage of 50ms frames with RMS power less than the threshold percentage of the mean RMS power. A threshold level of 20 for low energy ratio was found to give best results, and the spread of the four features was increased by log transformations. In the training ....
Scheirer E & Slaney M (1997) Construction and evaluation of a robust multifeature speech/music discriminator. Proc. ICASSP.
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Eric Scheirer and Malcolm Slaney, "Construction and evaluation of a robust multifeatures speech/music discriminator," IEEE Transactions on Acoustics, Speech, and Signal Processing (ICASSP'97), 1997, pp. 1331--1334.
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E. Scheirer, M. Slaney, "Construction and evaluation of a robust multifeature speech/music discriminator", ICASSP'97, 1997.
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E. Scheirer and M. Slaney. Construction and evaluation of a robust multifeature speech/music discriminator. Proc. IEEE ICASSP'97, pages 1331--1334, 1997.
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Eric Scheirer and Malcolm Slaney. Construction and evaluation of a robust multifeature speech/music discriminator. In International Conference on Acoustics, Speech and Signal Processing, volume II, pages 1331--1334. IEEE, 1997.
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Scheirer, E. and Slaney, M. (1997). Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator. IEEE International Conference on Acoustics, Speech and Signal Processing, II:1331-1334.
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Scheirer, E. D. and Slaney, M. "Construction and Evaluation of A Robust Multifeature Speech/Music Discriminator". In Proceedings of the 1997 IEEE Conference on Acoustics, Speech and Signal Processing, volume 2, pp. 1331 - 1334, Munich, Germany, April 1997.
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