Hearing Seminars
CCRMA hosts a weekly Hearing seminar (aka Music 319). All areas related to perception are discussed, but the group emphasizes topics that will help us understand how the auditory system works. Speakers are drawn from the group and visitors to the Stanford area. Most attendees are graduate students, faculty, or local researchers interested in psychology, music, engineering, neurophysiology, and linguistics. Stanford students can (optionally) receive credit to attend, by enrolling in Music 319 "Research Seminar on Computational Models of Sound Perception." Meetings are usually from 10:30AM to 12:20 (or so, depending on questions) on Friday mornings in the CCRMA Seminar Room.
The current schedule is announced via a mailing list. To subscribe yourself to the mailing list, please visit https://cm-mail.stanford.edu/mailman/listinfo/hearing-seminar If you have any questions, please contact Malcolm Slaney at hearing-seminar-admin@ccrma.stanford.edu.
Upcoming Hearing Seminars
Malcolm Slaney - The neurophysiology of audio, motor, music and imagination in Telluride
Date:Fri, 12/02/2022 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarWe end the Fall 2022 quarter with one last talk in the “What I did during my pandemic” series.
Last summer I helped lead the auditory, visual and motor group at the Telluride Neuromorphic Engineering Cognition Workshop. This is a rather intense 3 week long workshop investigating different projects at the intersection of neurophysiology, engineering and biology. It’s a lot of fun.FREEOpen to the Public
Recent Hearing Seminars
Gopal Anumanchipalli (UCB) - Neural computations in Humans for Speech
Date:Fri, 11/18/2022 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarPerhaps the holy grail of auditory neuroscience is understanding how our brains process speech. I’m happy that Prof. Gopala Anumanchipalli (UC Berkeley) is coming to the Hearing Seminar this week to talk about his latest decoding work. Gopala and his colleagues at UCSF have done some of the most amazing brain decoding work using ECoG (Electrocorticography) to measure brain activity using electrode arrays on the surface of human brains. Gopala’s earlier work looked at directly decoding speech from these recordings placed directly on the surface of the cortex.
FREEOpen to the PublicTakako Fujioka - What I did during the pandemic
Date:Fri, 11/11/2022 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarProf. Takako Fujioka continues the Hearing Seminar series “What I did during my pandemic” with an update on her work on understanding the dynamics of ensembles and improvisation.
This is starting to be a theme: How do we take apart and analyze dynamic systems? In Prof. Fujioka's case, two or more players have their own goals and timing, but must cooperate for the greater good.Open to the PublicVikash Glija (UCSD) - Connecting auditory and motor systems
Date:Fri, 11/04/2022 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing Seminar
At this week’s CCRMA Hearing Seminar Prof. Vikash Gilja (UCSD) will be talking about neural prothesis, building a brain-computer interface to control a bird’s voice. I met Vikash earlier this year and was impressed with his energy, knowledge and scientific curiosity. His work with the motor system and with neural BCI are both amazing. Groups such as Neuralink have suggested that we can use electrodes implanted in the brain to directly control the outside world.FREEOpen to the PublicDick Lyon on Modeling Nonlinear Mechanics in Normal (and Impaired) Cochleas – Whose Data Should We Ignore?
Date:Fri, 10/28/2022 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarCochlear mechanics is hard, and there are lots of ways to look at the problem. Dick Lyon has been studying cochlear mechanics for as long as I have known him, and recently delivered a keynote at biannual Mechanics of the Hearing meeting summarizing his view of what data makes sense. He'll bring his overview to CCRMA.
Who: Richard F. Lyon (Google)
What: Modeling Nonlinear Mechanics in Normal (and Impaired) Cochleas – Whose Data Should We Ignore?
Why: The cochlea starts all hearing processes.
AbstractFREEOpen to the PublicStefania Serafin - Multisensory experiences for hearing rehabilitation
Date:Fri, 10/21/2022 - 11:50am - 12:20pmLocation:CCRMA Stage (Upstairs)Event Type:Hearing Seminar
Our eyes and our ears are pretty good at working together. But what can touch add to our perception? We can certainly *feel* the bass from loud music. And braille is a good way to convey language. Can touch add to the information conveyed by audio? Most importantly how do we get the information from the two modalities to fuse?I’m very happy that Prof. Stefania Serafin is returning to CCRMA to talk about her work using haptic (touch) information to convey more information to users that are profoundly hard of hearing.FREEOpen to the PublicDavid Huron - A Theory of the Musically Sublime
Date:Fri, 10/14/2022 - 10:30am - 12:00pmLocation:CCRMA Courtyard (outdoors)Event Type:Hearing SeminarProf. David Huron has made a career of studying our reactions to music. In his latest work he describes the musical features that drive strong fear responses, and why this is pleasureable.
ABSTRACT:FREEOpen to the PublicPrograms and book for building an audio coder and for deep learning for audio
Date:Fri, 10/07/2022 - 3:30pm - 4:30pmLocation:CCRMA Classroom [Knoll 217]Event Type:Hearing SeminarThis quarter's Hearing Seminar is dedicated to "What I did during my pandemic?" First up is Prof. Gerald Schuller talking about the book and code he wrote to build better audio coders and deep neural networks. This is a joint seminar with the DSP seminar so it will take place at 3:30PM in the classroom.
Abstract:FREEOpen to the PublicBryan Pardo on Voice Assist and Cerberus
Date:Fri, 03/06/2020 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarIn this talk, Bryan Pardo will describe two recent projects developed at Northwestern University’s Interactive Audio Lab: VoiceAssist and Cerberus. VoiceAssist is a system that helps inexperienced users produce high quality recordings by providing real-time visual feedback on audio quality. Cerberus is a single deep learning architecture that can both separate an audio recording of a musical mixture into constituent single-instrument recordings and transcribe these instruments into a human-readable format at the same time.
FREEOpen to the PublicDecoding Speech and Language Representations from the Brain
Date:Fri, 02/21/2020 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarGopala Anumanchipalli will be talking about his work to measure and reconstruct speech signals from human neural activity. Gopala is uniquely situated to do this work, having graduated from Prof. Alan Black’s speech synthesis lab at CMU and he is now part of Prof. Eddie Chang’s excellent ECoG lab at UCSF. At UCSF there are patients who are undergoing surgery for epilepsy, and some of the patients allow recordings to be made as they listen and respond to sounds. One important question is how is speech represented in the brain. Gopala’s work uses deep neural networks (DNNs) to reconstruct speech sounds from human ECoG data. Speech from spikes.
AbstractFREEOpen to the PublicSource coding of audio signals with a generative model
Date:Fri, 02/07/2020 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarAudio coders have historically taken two approaches: 1) source coders that understand how a signal is generated, often from a vocal tract, and generate representation using a few time-varying quantized parameters, and 2) perceptual coders that capitalize on “flaws” in the perceptual system that drop parts of the signal are not heard.
FREEOpen to the Public
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