Signal Processing in Auditory Neuroscience
Temporal and Spatial Features of Sound and Speech
- 1st Edition - May 22, 2018
- Latest edition
- Author: Yoichi Ando
- Language: English
Signal Processing in Auditory Neuroscience: Temporal and Spatial Features of Sound and Speech discusses how the physical attributes of different sounds manifest in neural signals a… Read more
Signal Processing in Auditory Neuroscience: Temporal and Spatial Features of Sound and Speech discusses how the physical attributes of different sounds manifest in neural signals and how to tease-apart their different influences. It includes EEG/MEG as additional variables to be considered when studying neural mechanisms of auditory processing in general, specifically in speech.
- Focuses on signal processing in human auditory-neuroscience
- Contains information that will be useful to researchers using a MEG/EEG recording of brain activity to study neural mechanisms of auditory processing and speech
- Gives an important overview and methodological background for techniques that are useful in human auditory-neuroscience
Researchers in auditory neuroscience, speech, acoustics and engineering
Chapter 1. Introduction1.1 Auditory Temporal and Spatial Factors 1.2 Correlation Auditory Model for Temporal and Spatial Information Processin1.3 Theory of Subjective Preference for Sound Fields1.4 Design Studies for Preferred Hearing Aid Chapter 2 Human Hearing System2.1 Physical Systems of Human Ear2.1.1 Head, Pinna and External Auditory Canal2.1.2 Eardrum and Bone Chain2.1.3 The Cochlea2.2 Auditory Brainstem Responses (ABR) in Auditory Pathways 2.2.1 ABR Recording and Flow of Neural Signals2.2.2 ABR Amplitudes in Relation to IACC2.2.3 Remarks2.3 Central Auditory Signal Processing ModelChapter 3. Analyses of Sound Signals and Sound Fields 3.1 Analyses of a Source Signal3.1.1 Autocorrelation Function (ACF) of a Sound Source3.1.2 Running ACF of a Source Signal3.2 Vocal Source Signals 3.3 Auditory-Temporal Window RecommendedChapter 4. Orthogonal Factors and Simulation of the Sound Field in an Enclosure4.1. Sound Transmission from a Point Source to Ear Entrances in a Room4.2 Orthogonal Factors of the Sound Field4.2.1 Temporal Factors of the Sound Field4.2.2 Spatial Factors of the Sound Field4.2.3 Auditory Time Window for the IACF Processing4.3 Simulation of Sound Localization4.4 Simulation of the Reverberant Sound Field Chapter 5. Magneto-Encephalographic (MEG) Evoked Responses to ACF/IACF Factors 5.1 MEG Responses to ACF Factors5.1.1 Factor of the sound pressure level (SPL)5.1.2 Factors 1 and １5.1.3 Factor e5.2 MEG Responses to IACF Factors5.2.1 Factor IACC5.2.2 Factor IACCChapter 6. Neural Evidences Related to Subjective Preference 6.1 Slow-Vertex Responses (SVR) Corresponding to Subjective Preference 6.1.1 Neuronal Response Correlates in Change of t1 6.1.2 Hemispheric Response Difference in Change of the LL and the IACC6.1.3 Differences in Response Latency Corresponding to Subjective Preference6.2 Response on Electro-Encephalogram (EEG) and Magneto-Encephalographic (MEG) Corresponding to Subjective Preferenc6.2.1 EEG in Response to Change of t16.2.2 MEG in Response to Change of t6.2.3 EEG in Response to Change of Tsu6.2.4 EEG in Response to Change of the IACC6.3 Specialization of Cerebral Hemispheres for Temporal and Spatial FactorsChapter 7. Temporal- and Spatial-Primary Percepts of the Sound and the Sound Field7.1 Temporal Percepts in Relation to the Temporal Factors of the Sound7.1.1 Pitches of Complex Tones7.1.2 Frequency Limits of the ACF Mode7.1.3 Loudness of Sharply Filtered Noise7.1.4 Duration Sensation7.1.5 Timbre of an Electric Guitar Sound with DistortionExperiment A Experiment B7.2. Spatial Percepts in Relation to the Spatial Factors of the Sound Field7.2.1 Localization of a Sound Source in the Horizontal-and Median-Plane 7.2.2 Cues of Localization in the Median Plane7.2.3 Learning Effects on Monaural Localization with Normal Hearing Listeners A. Experimental ProcedureB. Experimental Results C. DiscussionD. ConclusionsA. 7.2.4 Age Effects of Monaurally Impaired Listeners on Localization7.2.5 Apparent Source Width (ASW) A. Experiment: ASW in relation to WIACC and IACCB. Experiment: ASW in relation to WIACC and LLC. ASW in relation to all of three factors, WIACC, LL and WIACC7.2.6 Subjective DiffusenessChapter 8. Subjective Preference of the Sound Field8.1 Sound Fields with a Single Reflection and Multiple Reflections8.1.1 Preferred Delay Time of a Single Reflection8.1.2 Preferred Horizontal Direction of a Single Reflection to a Listener8.2 Sound Fields with Early Reflections and the Subsequent Reverberation 8.3 Optimal Conditions Maximizing Subjective Preference8.3.1 Listening Level (LL)8.3.2 Early Reflections After the Direct Sound (t1) 8.3.3 Subsequent Reverberation Time after the Early Reflections (Tsub)8.3.4 Magnitude of the Inter-Aural Crosscorrelation Function (IACC) 8.4 Theory of Subjective Preference for the Sound Field8.5 Seat Selection Enhancing Individual PreferenceChapter 9. Temporal and Spatial Features of Speech Signals9.1 Background 9.1.1 Methods of Single Syllables and WordA. Stimuli B. Recording methodsC. Autocorrelation analysis9.2 Single Vowels and Single CV SyllablesA. Single vowels B. Single CV syllableC. Vowel and syllable identification 9.3 Continuous Speech 9.3.1 Background9.3.2 Procedure9.3.3 Results of Five Temporal Factors A. Analysis of three greetings in three languagesB. Japanese Haiku Phase 9.3.4 Effects of a Week Noise on the Five Factors9.3.5 Conclusions9.4 Effects of Spatial Factors on Speech Perception9.5 Future Directions
- Edition: 1
- Latest edition
- Published: May 22, 2018
- Language: English
YA
Yoichi Ando
Professor Yoichi Ando was awarded the 1995 Institute Honor by the American Institute of Architects. His 30 years of work developing and applying new theories of concert hall acoustics have helped redefine the way music is heard. A scientist, author and educator, his achievements are a benefit to both the world of architecture and the world of music. He was Associate Dean at the Graduate School of Science and Technology, Kobe University, Japan.
1975 Received PhD from Waseda University
Alexander-von-Humboldt Fellow (1975.7-1977.5) at Drittes physikalisches Institut, Universitat Gottingen
2001 Established Journal of Temporal Design http://www.jtdweb.org/
2002 Received Dottore AD Honorem“ (Laurea Honoris Causa), University of Ferrara
2003 Professor Emeritus, Graduate School Kobe University
2013 Member, Bologna Academy of Science
Author: Concert Hall Acoustics, Springer (1985), Architectural Acoustics, Springer (1998), Auditory Visual Sensations, Springer (2009), Brain-Grounded Theory of Temporal and Spatial Design, and 10 other books.
Affiliations and expertise
Kobe University, JapanRead Signal Processing in Auditory Neuroscience on ScienceDirect