17 papers · ranked by Valyu relevance
Taffeta M. Elliott, Frédéric E. Theunissen, Karl J. Friston
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…
Nai Ding, Aniruddh D. Patel, Lin Chen, Henry Butler + 2 more
Speech and music have structured rhythms, but these rhythms are rarely compared empirically. This study, based on large corpora, quantitatively characterizes and compares a major acoustic correlate of spoken and musical rhythms, the slow (0.25-32 Hz) temporal modulations in sound intensity. We show that the speech…
Xiangbin Teng, Qinglin Meng, David Poeppel
Speech signals have a unique shape of long-term modulation spectrum that is distinct from environmental noise, music, and non-speech vocalizations. Does the human auditory system adapt to the speech long-term modulation spectrum and efficiently extract critical information from speech signals? To answer this question…
Samik Sadhu, Hynek Heřmanský
How important are different temporal speech modulations for speech recognition? We answer this question from two complementary perspectives. Firstly, we quantify the amount of phonetic information in the modulation spectrum of speech by computing the mutual information between temporal modulations with frame-wise…
Victoria Leong, Usha Goswami, Frederic Dick
When acquiring language, young children may use acoustic spectro-temporal patterns in speech to derive phonological units in spoken language (e.g., prosodic stress patterns, syllables, phonemes). Children appear to learn acoustic-phonological mappings rapidly, without direct instruction, yet the underlying…
Yuran Zhang, Jiajie Zou, Nai Ding
The speech envelope is considered as a major acoustic correlate of the syllable rhythm since the peak frequency in the speech modulation spectrum matches the mean syllable rate. Nevertheless, it has not been quantified whether the peak modulation frequency can track the syllable rate of individual utterances and how…
Andrey Anikin, Valentina Canessa-Pollard, Katarzyna Pisanski, Mathilde Massenet + 1 more
Title: Summary Humans have evolved voluntary control over vocal production for speaking and singing, while preserving the phylogenetically older system of spontaneous nonverbal vocalizations such as laughs and screams. To test for systematic acoustic differences between these vocal domains, we analyzed a broad…
Ascensión Gallardo-Antolín, Juan Manuel Montero
Speech intelligibility can be affected by multiple factors, such as noisy environments, channel distortions or physiological issues. In this work, we deal with the problem of automatic prediction of the speech intelligibility level in this latter case. Starting from our previous work, a non-intrusive system based on…
Lotte Weerts, Claudia Clopath, Dan F. M. Goodman
Automatic speech recognition (ASR) software has been suggested as a candidate model of the human auditory system thanks to dramatic improvements in performance in recent years. To test this hypothesis, we compared several state-of-the-art ASR systems to results from humans on a barrage of standard psychoacoustic…
Venugopal Manju, Kizhakke Kodiyath Gopika, Pitchai Muthu Arivudai Nambi
Perception of Temporal Modulations and Speech in Noise Authors: ['Venugopal Manju' 'Kizhakke Kodiyath Gopika' 'Pitchai Muthu Arivudai Nambi'] Amplitude modulations in the speech convey important acoustic information for speech perception. Auditory steady state response (ASSR) is thought to be physiological correlate of…
Yuran Zhang, Jiajie Zou, Nai Ding
The syllable is a perceptually salient unit in speech. Since both the syllable and its acoustic correlate, i.e., the speech envelope, have a preferred range of rhythmicity between 4 and 8 Hz, it is hypothesized that theta-band neural oscillations play a major role in extracting syllables based on the envelope. A…
Fabian Schmidt, Ya-Ping Chen, Anne Keitel, Sebastian Rösch + 4 more
The most prominent acoustic features in speech are intensity modulations, represented by the amplitude envelope of speech. Synchronization of neural activity with these modulations is vital for speech comprehension. As the acoustic modulation of speech is related to the production of syllables, investigations of neural…
Shih-Kuang Lee, Syu‐Siang Wang, Yu Tsao, Jeih-weih Hung
In this paper, we propose a novel speech enhancement (SE) method by exploiting the discrete wavelet transform (DWT). This new method reduces the amount of fast time-varying portion, viz. the DWT-wise detail component, in the spectrogram of speech signals so as to highlight the speech-dominant component and achieves…
Nikolaos Dionelis
—This report focuses on algorithms that perform single-channel speech enhancement. The author of this report uses modulation-domain Kalman filtering algorithms for speech enhancement, i.e. noise suppression and dereverberation, in [1], [2], [3], [4] and [5]. Modulation-domain Kalman filtering can be applied for both…
Amr Gaballah, Vijay Parsa, Daryn Cushnie-Sparrow, Scott Adams
This paper investigated the performance of a number of acoustic measures, both individually and in combination, in predicting the perceived quality of sustained vowels produced by people impaired with Parkinson's disease (PD). Sustained vowel recordings were collected from 51 PD patients before and after the…
M Florencia Assaneo, Daniela Ramirez Butavand, Marcos A Trevisan, Gabriel B Mindlin
The sounds of all languages are described by a finite set of symbols, which are extracted from the continuum of sounds produced by the vocal organ. How the discrete phonemic identity is encoded in the continuous movements producing speech remains an open question for the experimental phonology. In this work, this…
Benjamin Parrell, Adam C. Lammert, Gregory Ciccarelli, Thomas F. Quatieri
This paper reviews the current state of several formal models of speech motor control with particular focus on the low level control of the speech articulators. Further development of speech motor control models may be aided by a comparison of model attributes. The review builds an understanding of existing models from…