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Vol.3 De-noising methods by machine learning for music

Friday June 28, 2019   19:30 – 20:30

About the events

Machine Learning is becoming more popular and being applied to various industries such as finance and manufacture. What happens if it is combined with sound? These sessions are for people who want to deepen their knowledge by catching up on the basics and usages of machine learning. Applications of the algorithms used in relation to music and speech recognition will be explained in the three sessions.

As an application of Vol.2, de-noising methods for sound recorded in a casual environment such as smartphones will be explained. Types of noise, loudness are to be considered for types of machine learning and algorithms. Demo of the methods will be shown.

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Speaker

Hyon Kim

Graduated from Waseda University with Bachelors degree, majored in Applied Mathematics.

Graduated from National University of Singapore with Master’s degree. Majored in Mathematics.

After completing his studies, he worked as an engineer and developed modules of sensor fusion, outlier detection and object detection for autonomous vehicles in Singapore. On returning to Japan, he worked for projects regarding speech recognition and anomaly sound detection. His current projects include music generation and sound source adjustment.

Timetable

19:10 – 19:30   Reception
19:30 – 20:30   Session
20:30 – 21:30   networking (free of charge)

Small bites and drinks will be prepared. Please come and join us for networking.

Price

Free of charge (for both study session and networking session).

Venue

Name: Val Laboratory Corporation   Seminar Room
Address: 〒166-8565  2-3-17 Koenjikita Suginami-ku Tokyo, Japan
three minutes walk from the JR koenji Station

Things to bring

Please bring at least one business name card.