Spectro-temporal modulation transfer functions and speech intelligibility

Spectro-temporal modulation transfer functions and speech intelligibility.

Detection thresholds for spectral and temporal modulations are measured using broadband spectra with sinusoidally rippled profiles that drift up or down the log-frequency axis at constant velocities. Spectro-temporal modulation transfer functions (MTFs) are derived as a function of ripple peak density (omega cycles/octave) and drifting velocity (omega Hz). The MTFs exhibit a low-pass function w...

Spectro - Temporal Modulation Transfer Functions and Speech

A spectro-temporal modulation index (STMI) for assessment of speech intelligibility

We present a biologically motivated method for assessing the intelligibility of speech recorded or transmitted under various types of distortions. The method employs an auditory model to analyze the effects of noise, reverberations, and other distortions on the joint spectro-temporal modulations present in speech, and on the ability of a channel to transmit these modulations. The effects are su...

The Modulation Transfer Function for Speech Intelligibility

We systematically determined which spectrotemporal modulations in speech are necessary for comprehension by human listeners. Speech comprehension has been shown to be robust to spectral and temporal degradations, but the specific relevance of particular degradations is arguable due to the complexity of the joint spectral and temporal information in the speech signal. We applied a novel modulati...

Phoneme Classification Using Temporal Tracking of Speech Clusters in Spectro-temporal Domain

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...