Phoneme restoration and empirical coverage of Interactive Activation and Adaptive Resonance models of human speech processing

2016 ◽  
Vol 140 (2) ◽  
pp. 1130-1153 ◽  
Author(s):  
Stephen Grossberg ◽  
Sohrob Kazerounian
Keyword(s):  
Speech Processing ◽  
Adaptive Resonance ◽  
Human Speech ◽  
Empirical Coverage ◽  
Interactive Activation ◽  
Phoneme Restoration

Patterns of evolution in human speech processing and animal communication

1998 ◽  
Vol 21 (2) ◽  
pp. 282-283
Author(s):  
Michael J. Ryan ◽  
Nicole M. Kime ◽  
Gil G. Rosenthal
Keyword(s):  
Sexual Selection ◽  
Speech Processing ◽  
Communication Systems ◽  
Animal Communication ◽  
Low Noise ◽  
Communication Signals ◽  
Human Speech ◽  
Strong Selection ◽  
Processing Data ◽  
Receiver System

We consider Sussman et al.'s suggestion that auditory biases for processing low-noise relationships among pairs of acoustic variables is a preadaptation for human speech processing. Data from other animal communication systems, especially those involving sexual selection, also suggest that neural biases in the receiver system can generate strong selection on the form of communication signals.

scholarly journals Scaling and universality in the human voice

2015 ◽  
Vol 12 (105) ◽  
pp. 20141344 ◽  
Author(s):  
Jordi Luque ◽  
Bartolo Luque ◽  
Lucas Lacasa
Keyword(s):  
Speech Production ◽  
Power Law ◽  
Speech Processing ◽  
Speech Synthesis ◽  
Deterministic Chaos ◽  
Scale Invariant ◽  
Human Capabilities ◽  
Human Speech ◽  
Temporal Correlations ◽  
Low Dimensional

Speech is a distinctive complex feature of human capabilities. In order to understand the physics underlying speech production, in this work, we empirically analyse the statistics of large human speech datasets ranging several languages. We first show that during speech, the energy is unevenly released and power-law distributed, reporting a universal robust Gutenberg–Richter-like law in speech. We further show that such ‘earthquakes in speech’ show temporal correlations, as the interevent statistics are again power-law distributed. As this feature takes place in the intraphoneme range, we conjecture that the process responsible for this complex phenomenon is not cognitive, but it resides in the physiological (mechanical) mechanisms of speech production. Moreover, we show that these waiting time distributions are scale invariant under a renormalization group transformation, suggesting that the process of speech generation is indeed operating close to a critical point. These results are put in contrast with current paradigms in speech processing, which point towards low dimensional deterministic chaos as the origin of nonlinear traits in speech fluctuations. As these latter fluctuations are indeed the aspects that humanize synthetic speech, these findings may have an impact in future speech synthesis technologies. Results are robust and independent of the communication language or the number of speakers, pointing towards a universal pattern and yet another hint of complexity in human speech.

scholarly journals An exploratory analysis of head-tilting in dogs

2021 ◽  
Author(s):  
Andrea Sommese ◽  
Ádám Miklósi ◽  
Ákos Pogány ◽  
Andrea Temesi ◽  
Shany Dror ◽  
...  
Keyword(s):  
Speech Processing ◽  
Exploratory Analysis ◽  
Head Turning ◽  
Mental Functions ◽  
Human Speech ◽  
Brain Pattern ◽  
Meaningful Stimuli

AbstractLittle is known about head-tilts in dogs. Based on previous investigations on the head turning and the lateralised brain pattern of human speech processing in dogs, we hypothesised that head-tilts may be related to increased attention and could be explained by lateralised mental functions. We observed 40 dogs during object-label knowledge tests and analysed head-tilts occurring while listening to humans requesting verbally to fetch a familiar toy. Our results indicate that only dogs that had learned the name of the objects tilted their heads frequently. Besides, the side of the tilt was stable across several months and tests. Thus, we suggest a relationship between head-tilting and processing relevant, meaningful stimuli.

scholarly journals Revealing the dual streams of speech processing

2016 ◽  
Vol 113 (52) ◽  
pp. 15108-15113 ◽  
Author(s):  
Julius Fridriksson ◽  
Grigori Yourganov ◽  
Leonardo Bonilha ◽  
Alexandra Basilakos ◽  
Dirk-Bart Den Ouden ◽  
...  
Keyword(s):  
Speech Processing ◽  
Large Scale ◽  
A Priori ◽  
Dorsal Stream ◽  
Brain Regions ◽  
Ventral Stream ◽  
Complete Agreement ◽  
Human Speech ◽  
Lexical Semantic ◽  
Data Driven Approach

Several dual route models of human speech processing have been proposed suggesting a large-scale anatomical division between cortical regions that support motor–phonological aspects vs. lexical–semantic aspects of speech processing. However, to date, there is no complete agreement on what areas subserve each route or the nature of interactions across these routes that enables human speech processing. Relying on an extensive behavioral and neuroimaging assessment of a large sample of stroke survivors, we used a data-driven approach using principal components analysis of lesion-symptom mapping to identify brain regions crucial for performance on clusters of behavioral tasks without a priori separation into task types. Distinct anatomical boundaries were revealed between a dorsal frontoparietal stream and a ventral temporal–frontal stream associated with separate components. Collapsing over the tasks primarily supported by these streams, we characterize the dorsal stream as a form-to-articulation pathway and the ventral stream as a form-to-meaning pathway. This characterization of the division in the data reflects both the overlap between tasks supported by the two streams as well as the observation that there is a bias for phonological production tasks supported by the dorsal stream and lexical–semantic comprehension tasks supported by the ventral stream. As such, our findings show a division between two processing routes that underlie human speech processing and provide an empirical foundation for studying potential computational differences that distinguish between the two routes.

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