T. Houtgast and H. J. M. Steeneken. The modulation transfer function in room acoustics as a predictor of speech intelligibility. Acustica, 28(1):66--73, January 1973. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Perceptually Inspired Signal-processing Strategies for Robust.. - Kingsbury (1998) (15 citations) (Correct)
.... Spectrum of Speech The concept of spectral change over time has received a formal treatment in the study of room acoustics with the measurement of the modulation spectrum of speech and the characterization of sound propagation in rooms in terms of their modulation transfer functions [HS72, HS73] The modulation spectrum, m(f) is a characterization of the way CHAPTER 2. SPEECH RECOGNITION BY HUMANS 18 time long term avg. level modulation depth Figure 2.2: The modulation index is a measure of the change in a signal s energy over time that is computed by taking the ratio of ....
....corrupted by additive noise or reverberation [LS82] Filtering was applied to critical band power spectral or log power spectral trajectories. The filter was designed to be the inverse of the ideal, theoretically derived modulation transfer function of a specific noise or reverberant condition [HS73] but modified in order that the filtering did not enhance very rapid fluctuations. Resynthesis of the signal from the processed power spectra was accomplished via an overlap and add procedure. This method was tested both as a pre processing step, applied before distortion was imposed, and as a ....
T. Houtgast and H. J. M. Steeneken. The modulation transfer function in room acoustics as a predictor of speech intelligibility. Acustica, 28(1):66--73, January 1973.
Construction And Evaluation Of A Robust Multifeature.. - Scheirer, Slaney (1997) (59 citations) (Correct)
....the zero crossing rate, using the variance of the derivative, the third central moment, the thresholded value, and a skewness measure. The features used in this system are: ffl 4 Hz modulation energy: Speech has a characteristic energy modulation peak around the 4 Hz syllabic rate [3]. We use a portion of the MFCC algorithm [4] to convert the audio signal into 40 perceptual channels. We extract the energy in each band, bandpass filter each channel with a second order filter with a center frequency of 4 Hz, then calculate the short term energy by squaring and smoothing the ....
T. Houtgast and H. J. M. Steeneken. The modulation transfer function in room acoustics as a predictor of speech intelligibility. Acustica, 28:66--73, 1973.
Incorporating Information From Syllable-Length Time.. - Wu, Kingsbury.. (1998) (20 citations) (Correct)
....analysis. The first evidence for this relationship between slow modulations and speech intelligibility emerged from the work of Homer Dudley and his colleagues at Bell Labs on the channel vocoder [6] Subsequently, work on the prediction of speech intelligibility in reverberant and noisy rooms [12] and over nonlinear communications channels [17] have highlighted the importance of slow modulations. Recent perceptual studies [5, 1] show that suppression of modulations in the 2 8 Hz range significantly degrades speech intelligibility. Modulations in this frequency range correspond to the ....
T. Houtgast and H. J. M. Steeneken. The modulation transfer function in room acoustics as a predictor of speech intelligibility. Acustica, 28:66--73, 1973.
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