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.
Recent Hearing Seminars
AI for Sound - Mark Plumbley (Surrey)
Date:Fri, 03/17/2023 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarI’m very excited to announce that Prof. Mark Plumbley from the University of Surrey (UK) will be visiting CCRMA on Friday and will lead the discussion of AI for sound. Mark has published ground breaking papers on audio scene classification, audio auto encoders and inpainting, spare representations, musical beat tracking and transcription. All good applications for signal processing and artificial intelligence.
Who: Prof. Mark Plumbley (Surrey)
What: AI for Sound
When: Fri, 03/17/2023 - 10:30am - 12:00pm
Where: CCRMA Seminar Room
Why: AI is good for sound!FREEOpen to the PublicHannes Muesch - Speech Intelligibility
Date:Fri, 03/10/2023 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarContinuing this quarter's theme of quality, Hannes Muesch (Dolby) will talk about his approach to measure and predict the intelligibility of speech signals. Speech after all is a very important part of our hearing---we want to maintain speech intelligibility and restore it when needed.
FREEOpen to the PublicLes Atlas (UW) - Better clipping for audio spectrogram DNNs
Date:Fri, 03/03/2023 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarDeep Neural Networks (DNNs) are everywhere, and have enabled all sorts of amazing solutions. Speech recognition and translation, all sorts of image applications, and now ChatGPT3 (aka a stochastic parrot that hallucinates).
But audio has always been troublesome with these networks. What the heck do you do with that damn phase? Sometimes you can just throw it away, but if you keep it the phase doesn’t work the way that normal numbers do (like image intensity). And complex numbers aren’t any easier. Networks like TasNet avoid the phase problem by learning multiple overlapping “wavelets”.FREEOpen to the PublicLudovic Bellier - Decoding a Pink Floyd song from the human brain
Date:Fri, 02/24/2023 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarCan we tell the music you are listening to from brain signals?
There has been a lot of work to decode speech signals from brain signal using intracranial EEG (ECoG), MEG and EEG. But what about music? Does the brain respond the same way? Arguably speech is easier, since it is both one-dimensional and for many studies there is a single source. In addition speech is likely to engage the motor system, providing another set of neurons from which to decode the basic speech signal. Music is more challenging: multiple acoustic objects, driving the emotional centers of the brain. What does it mean to decode music? Which parts of the brain respond with a signal we can decode in real time?
Who: Ludovic BellierFREEOpen to the PublicShaikat Hossain - Improving sound coding for cochlear implant users
Date:Fri, 02/17/2023 - 10:30am - 12:10pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarCochlear implants (CI) are amazing if all you care about is speech. They convert audio into electrical impulses which are fed into a user's cochlea. Young users can learn spoken language using only a CI. But cochlear implants are really lousy in complicated audio environments, and at representing music. One of the problems is that they large encode the overall speech spectrum, but ignore the details (like timing) that are important for understanding the world around us. What can we do better?
Can we provide better electrical stimuli so CI users can enjoy music and they can understand speech in noise?
Who: Shaikat Hossain
What: Improving sound coding for cochlear implant users
When: Friday February 17th at 10:30AMFREEOpen to the PublicImmersive Audio - How much quality is necessary?
Date:Fri, 02/10/2023 - 10:30am - 12:00pmLocation:CCRMA BallroomEvent Type:Hearing SeminarHow do we create an immersive audio environment? What is immersive audio? How good does the audio need to be for augmented reality? How do we judge its quality?
FREEOpen to the PublicAudio Quality - How Much is Necessary?
Date:Fri, 02/03/2023 - 10:30am - 12:00pmLocation:CCRMA Stage (Top floor)Event Type:Hearing SeminarHow much do you worry about audio quality? Do you ever have high-enough quality? Does anybody care about audio quality? What is audio quality?
I'm very happy to announce a special Hearing Seminar on audio quality. Join us for a panel of distinguished audio experts who will talk about how they perceive audio, when is the quality high enough, and how do we define quality. Come be part of the discussion.FREEOpen to the PublicMalcolm Slaney on Connecting auditory, visual and motor signals
Date:Fri, 01/20/2023 - 10:30am - 12:00pmLocation:CCRMA Seminar RoomEvent Type:Hearing SeminarWe start the Winter 2023 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. (And the reason for more all-nighters than any other part of my career.)
This year the audio group looked at the connections between the auditory, motor and visual systems, using computer vision and brain decoding. Within this broad effort the work divided into two sub projects: violin and decoding.FREEOpen to the PublicGopal 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 Public
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