Name: [Online] 10th Latin American BISH Bash: Acoustic, Speech and Audio Processing
Start: 2025-11-17T11:00:00-03:00
End: 2025-11-17T12:00:00-03:00

LatAm BISH Bash is a series of meetings and networking events that connect engineers, researchers, students, and companies working on speech, acoustics, and audio processing.

In this meeting, we will learn about Audio Intelligence Research at Spotify in a presentation by Rachel Bittner and Yu Wang.

The online event will happen on November 17th at

* 9 AM EST (UTC-5)
* 11 AM BRT (UTC-3)
* 2 PM CET (UTC+1)

Find the presenters' bio below:

[Rachel Bittner](https://rachelbittner.weebly.com/) is a research manager at Spotify. She holds a PhD from New York University, where she worked with Prof. [Juan P. Bello](https://research.steinhardt.nyu.edu/marl/people/bello) in the [Music and Audio Research Lab (MARL)](http://steinhardt.nyu.edu/marl), an MSc in math from [NYU's Courant Institute](https://www.cims.nyu.edu/), and a BSc in music performance and math from [UC Irvine](https://uci.edu/). Before her PhD studies, she was a research assistant at [NASA Ames Research Center](https://www.nasa.gov/centers/ames/home/index.html).

Her research interests are at the intersection of audio signal processing and machine learning, applied to musical audio. Her research interests include automatic music transcription, source separation, musical version identification, and open-source software and datasets for music research.

[Yu Wang](https://y-wang.weebly.com/) is currently a research scientist at Spotify on the MIQ Team. She holds a PhD in Music Technology from New York University, where she worked with Prof. [Juan P. Bello](https://research.steinhardt.nyu.edu/marl/people/bello) in the [Music and Audio Research Laboratory (MARL)](https://research.steinhardt.nyu.edu/marl/), two MScs in Materials Science & Engineering from both Massachusetts Institute of Technology and National Taiwan University (NTU), and a bachelor's degree in Physics from NTU. Before joining MARL, she was in the Music Recording and Production program at Institute of Audio Research.

Her research interests focus on machine learning and signal processing for music and general audio. During her PhD, she has worked on building adaptive and interactive machine listening systems with minimal supervision using techniques such as few-shot learning and active learning.​ She enjoys playing guitar, producing music, and sound engineering.

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LatAm BISH Bash es una serie de reuniones y eventos de networking que conectan a ingenieros, investigadores, estudiantes y empresas que trabajan en procesamiento de voz, acústica y audio.
En esta reunión, aprenderemos sobre la Investigación de Inteligencia de Audio en Spotify en una presentación a cargo de Rachel Bittner y Yu Wang.

El evento en línea se llevará a cabo el 17 de noviembre a las:

* 9 AM EST (UTC-5)
* 11 AM BRT (UTC-3)
* 2 PM CET (UTC+1)

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O LatAm BISH Bash é uma série de encontros e eventos de networking que conectam engenheiros, pesquisadores, estudantes e empresas que trabalham com processamento de fala, acústica e áudio.
Neste encontro, aprenderemos sobre a Pesquisa de Inteligência de Áudio no Spotify em uma apresentação com Rachel Bittner e Yu Wang.

O evento online acontecerá no dia 17 de novembro às:

* 9 AM EST (UTC-5)
* 11 AM BRT (UTC-3)
* 2 PM CET (UTC+1)

Jimena Arruti

BISH Bash LatAm

Technology

Artificial Intelligence

Machine Learning

Deep Learning

Audio Signal Processing

Audio Engineering

Music Industry

Music

Sound Engineering

Music Technology

[Online] 10th Latin American BISH Bash: Acoustic, Speech and Audio Processing

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[Online] 10th Latin American BISH Bash: Acoustic, Speech and Audio Processing

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