BISH Bash Meetup: Audio AI - Hosted by Dolby

• Due to an overwhelming response we will not be able to accommodate any last-minute guest additions or late arrivals.*
  ** Please be sure to arrive on time as space is limited **

Dolby is happy to host another BISH Bash to discuss the latest advances in deep learning for music and audio.

This BISH Bash is special because many Ph.D. students from all-over-the-world are in the Bay Area interning with several music/audio companies. We expect this event to be a nice networking opportunity for all these people who are not normally in San Francisco!

AGENDA

5:30-6:30 PM: Networking, food, and drinks.

6:25-8:30 PM: Technical Talks

• Vivek Kumar, Dolby: Introduction

• Chris Donahue, Stanford: Neural Loops - a generative model for musical loops

• Jongpil Lee, Adobe intern: Comparison and analysis of audio classification architectures

• Felicia Lim, Google: Salient speech representations rased on cloned networks

• Cong Zhou, Dolby: Voice Conversion with conditional SampleRNN

• Elena Georgieva, Stanford: Women in MIR

• Minz Won, Pandora intern: Cross-modal metric learning for end-to-end music retrieval

• Jiaqi Su, Adobe intern: Perceptually motivated speech enhancement

• Roy Fejgin, Dolby: High-quality speech coding with SampleRNN

8:30-9:30 PM: Shoutouts, more networking, food, and drinks.

HOW TO GET THERE?

We are located at 1275 Market St, in San Francisco.

BART Civic Centre is less than 5 minutes walking from the building.

If you come by car, the closest garage is 2 blocks away at Civic Center Garage (355 McAllister St). Metered street parking is available, but make sure to check signs as parking restrictions in the area can be confusing.

CHECK-IN
To assist our security team, attendees will need to wear name tags, which will be given at the door based on the RSVP list.