Chimaeric sounds reveal dichotomies in auditory perception
By Zachary M. Smith, B. Delgutte, A. Oxenham. Nature, 2002
966 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Sensory Systems
View Paper: https://www.semanticscholar.org/paper/8005ea87207ba7860b2206198d2583c51e905eb0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- David J. Lewkowicz
- David Poeppel
- Robert J. Zatorre
- Joachim Gross
- Andrew Hines
- Asif A. Ghazanfar
- Naomi Harte
- Stefano Panzeri
In Sensory Systems
- David J. Lewkowicz
- Gregor Thut
- Huan Luo
- F. Zeng
- Naomi Harte
- David Poeppel
- Robert J. Zatorre
- Michael F. Dorman
Citations in the corpus
- Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex. (2007, methodology): “of frequency bands into which the signal is split (Smith et al., 2002).”
- ABX-Discriminability Measures and Applications. (Mesures de discriminabilité ABX et applications) (2016, background): “Some form of demodulation operation is likely to occur at some point, as evidenced by the progressive decrease in the highest modulation frequencies to which neurons respond as one goes toward higher processing areas in the brain [179], as well as by experiments showing the special role of amplitude”
- Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human Brain (2013, methodology): “Using the Chimera toolbox we constructed nine frequency bands in the range 100–10,000 Hz to be equidistant on the cochlear map [68].”
- Speech intelligibility prediction using a Neurogram Similarity Index Measure (2012, background): “Although the ENV and TFS neurograms allow auditory nerve firing rates to be investigated at different time resolutions they are not the strict isolating metrics of acoustic ENV and TFS (Rosen, 1992; Smith et al., 2002).”
- The Natural Statistics of Audiovisual Speech (2009, methodology): “We estimated the wideband envelope by adapting a previously devised method using band-passed filters and the Hilbert transform [23].”
- The Modulation Transfer Function for Speech Intelligibility (2009, background): “through the same spectrographic filter bank [45] or, equivalently,”
- Heterochrony and Cross-Species Intersensory Matching by Infant Vervet Monkeys (2009, background): “Importantly, the tone had a constant intensity and a linear spectral profile, and thus lacked the species-specific amplitude envelope and formants that are typically very salient features of speech and nonhuman primate vocalizations [37,38,39,40].”
- Cochlear Implants:System Design, Integration and Evaluation (2008, background): “quires extraction and use of pitch of complex sounds [196], [197].”
- A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech (2010, background): “…property that temporal envelopes, computed via a Hilbert transformation, can contain frequencies up to the bandwidth of the envelope bearing signal [30], it is expected that reverberant signals exhibit higher-frequency temporal envelopes due to the " whitening " effect of the reverberation tail…”
- Neural processing of amplitude-modulated sounds. (2004, background): “The temporal characteristics of these bursts carry much information (44, 108, 214, 265, 272, 281), but their dominant modulation frequency is rather slow (typically 3–4 Hz, extending up to 20 Hz) vis-à-vis the temporal capabilities of the peripheral auditory system.”
- Cochlear implants: a remarkable past and a brilliant future. (2008, background): “, 2002), degrade the representation of tone patterns in tonal languages (Xu and Pfingst, 2003), and greatly diminish the representation of musical sounds (Smith et al., 2002).”