Audio‐visual integration of speech with time‐varying sine wave speech replicas

2002 ◽  
Vol 112 (5) ◽  
pp. 2358-2358
Author(s):  
Jyrki Tuomainen ◽  
Tobias Andersen ◽  
Kaisa Tiippana ◽  
Mikko Sams
Keyword(s):  
Sine Wave ◽  
Time Varying ◽  
Visual Integration ◽  
Sine Wave Speech

The Perception of "Sine-Wave Speech" by Adults With Developmental Dyslexia

2003 ◽  
Vol 46 (1) ◽  
pp. 68-79 ◽  
Author(s):  
Burton S. Rosner ◽  
Joel B. Talcott ◽  
Caroline Witton ◽  
James D. Hogg ◽  
Alexandra J. Richardson ◽  
...  
Keyword(s):  
Developmental Dyslexia ◽  
Memory Capacity ◽  
Sine Wave ◽  
Auditory Memory ◽  
Semantic Features ◽  
Acoustic Cues ◽  
Word Position ◽  
Phonological Contrasts ◽  
Impaired Speech ◽  
Sine Wave Speech

Numerous studies have shown that, as a group, children or adults with developmental dyslexia perceive isolated syllables or words abnormally. Continuous speech containing reduced acoustic information also might prove perceptually difficult to such listeners. They might, however, exploit the intact syntactic and semantic features present in whole utterances, thereby compensating fully for impaired speech perception. "Sine-wave speech" sentences afford a test of these competing possibilities. The sentences contain only 4 frequency-modulated sine waves, lacking many acoustic cues present in natural speech. Adults with and without dyslexia were asked to orally reproduce 9 sine-wave utterances, each occurring in 4 immediately successive trials. Participants with dyslexia reported fewer words than did control listeners. Practice, phonological contrasts, and word position affected both groups similarly. Comprehension of sine-wave sentences seems impaired in many, but not all, adults with dyslexia. A reduced auditory memory capacity may contribute to this deficit.

The Influence of Variable-Speed Waveforms on Vibration Suppression in Time-Varying Speed Cutting

2013 ◽  
Vol 690-693 ◽  
pp. 2514-2518
Author(s):  
Juan Cong ◽  
Yun Wang ◽  
Wei Na Yu
Keyword(s):  
Wave Speed ◽  
Vibration Suppression ◽  
Sine Wave ◽  
Time Varying ◽  
Variable Speed ◽  
Suppression Effect ◽  
Speed Variation ◽  
Input And Output ◽  
System Input ◽  
Better Than

Through the research on the change of system input and output energy in time-varying speed cutting, the influence of variable-speed waveforms on vibration suppression effect in time-varying speed cutting is quantitatively analyzed in this paper. A conclusion can be drawn that sine wave speed variation is better than triangle wave speed variation in vibration suppression.

A chimpanzee (Pan troglodytes) recognizes spoken words synthesized as sine‐wave speech.

2010 ◽  
Vol 128 (4) ◽  
pp. 2351-2351
Author(s):  
Lisa A. Heimbauer ◽  
Michael J. Beran ◽  
Michael J. Owren
Keyword(s):  
Pan Troglodytes ◽  
Sine Wave ◽  
Spoken Words ◽  
Sine Wave Speech

scholarly journals Sine-wave speech recognition in a tonal language

2012 ◽  
Vol 131 (2) ◽  
pp. EL133-EL138 ◽  
Author(s):  
Yan-Mei Feng ◽  
Li Xu ◽  
Ning Zhou ◽  
Guang Yang ◽  
Shan-Kai Yin
Keyword(s):  
Speech Recognition ◽  
Sine Wave ◽  
Tonal Language ◽  
Sine Wave Speech

scholarly journals Spike-Firing Resonance in Hypoglossal Motoneurons

2008 ◽  
Vol 99 (6) ◽  
pp. 2916-2928 ◽  
Author(s):  
Johannes F. M. van Brederode ◽  
Albert J. Berger
Keyword(s):  
High Reliability ◽  
Phase Locking ◽  
Sine Wave ◽  
Spike Timing ◽  
Oscillatory Activity ◽  
Time Varying ◽  
Locking Range ◽  
Spike Firing ◽  
40 Hz

During an inspiration the output of hypoglossal (XII) motoneurons (HMs) in vitro is characterized by synchronous oscillatory firing in the 20- to 40-Hz range. To maintain synchronicity it is important that the cells fire with high reliability and precision. It is not known whether the intrinsic properties of HMs are tuned to maintain synchronicity when stimulated with time-varying inputs. We intracellularly recorded from HMs in an in vitro brain stem slice preparation from juvenile mice. Cells were held at or near spike threshold and were stimulated with steady or swept sine-wave current functions (10-s duration; 0- to 40-Hz range). Peristimulus time histograms were constructed from spike times based on threshold crossings. Synaptic transmission was suppressed by including blockers of GABAergic, glycinergic, and glutamatergic neurotransmission in the bath solution. Cells responded to sine-wave stimulation with bursts of action potentials at low (<3- to 5-Hz) sine-wave frequency, whereas they phase-locked 1:1 to the stimulus at intermediate frequencies (3–25 Hz). Beyond the 1:1 frequency range cells were able to phase-lock to subharmonics (1:2, 1:3, or 1:4) of the input frequency. The 1:1 phase-locking range increased with increasing stimulus amplitude and membrane depolarization. Reliability and spike-timing precision were highest when the cells phase-locked 1:1 to the stimulus. Our findings suggest that the coding of time-varying inspiratory synaptic inputs by individual HMs is most reliable and precise at frequencies that are generally lower than the frequency of the synchronous inspiratory oscillatory activity recorded from the XII nerve.

Full-Annulus Multi-Row Flutter Analyses

2012 ◽  
Author(s):  
Kwen Hsu ◽  
Dan Hoyniak ◽  
M. S. Anand
Keyword(s):  
Flow Model ◽  
Wave Model ◽  
Sine Wave ◽  
Time Varying ◽  
Test Results ◽  
Single Row ◽  
Blade Row ◽  
Flutter Analysis ◽  
Simulation Results ◽  
Potential Impact

Flutter analysis for a first stage rotor of a compressor assembly was performed using the traditional Single-Passage, Single-Row (SPSR) flow model, and the prediction results did not correlate well with the test findings. In the tests flutter was observed but the SPSR simulation results indicated no flutter. It was suspected that influences from the upstream and downstream rows, which were omitted by the use of the SPSR model, might have significantly altered the flutter behavior of this rotor in a multistage environment. To confirm this hypothesis and to better understand the multistage turbomachinery flutter problem, FAMR (Full-Annulus, Multi-Row) models were employed in the current study to accurately take into account the interferences generated by the presence of the neighboring rows and to capture the time-varying flow variations in all directions. It was found that the flutter performance predicted by a FAMR model can be dramatically different from that predicted by a SPSR model of the same design. The FAMR model showed that flutter can occur for this design, as indicated by test results. Present results indicate the potential impact of complex blade row interactions and aliasing on flutter behavior in a multi-blade row turbomachinery configuration. A simple sine-wave model was also used to better explain the FAMR simulation results and help the analyst in judging the efficacy of the FAMR simulation.

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