Global Internship:Research & Development Division

Outline (2023 Season)

Term Approximately three months, Summer to Autumn 2023
Division Research & Development Division
Location (1) On-site Program: Hamamatsu, Japan (only 90 minutes from Tokyo/Osaka).
(2) Online Program: From home via the Internet. We have only on-site programs in 2023.
Application Send a message via this contact form, with your desired field and a list of your research interests, with the subject “Internship”.
Condition Paid internship
Benefits Stipend. For the on-site program, we also provide you with:
・ Visa application support
・ Transportation costs
・ Furnished accommodation
Process Application submission followed by an online interview
Due date 16 December 2022 (The contact form will be closed at 11:59 pm on 16 December 2022, SST (UTC -1100).)
Notes *Term and Location are flexible, depending on changing national/international regulations against COVID-19.

Fields

  • Ear-shape and machine learning based acoustic simulation HRTF
    image Singing synthesizers and/or tone generators
    Location: Hamamatsu, Japan
    Currently, spatial audio is growing in many areas. On the other hand, HRTF personalization is a developing technology worldwide. Yamaha has presented shape-based average HRTF at previous AES conferences. We are now conducting HRTF acoustic simulation research that uses a combination of ear shape data and machine learning. In addition, auditory spatial perception should be investigated for personalized HRTFs. In this internship, you will be a member of a team tasked with developing personalized spatial audio technology.
    We would like you to clarify the challenges and advantages caused by combining ear shape data with machine learning for personalized HRTF.
    SKILL
    • Required: Expertise in programming (C/C++, Python), signal processing, machine learning, image processing (including 2D and/or 3D images)
    • Welcomed: Experience in the evaluation of auditory spatial perception
  • AI-powered intelligent sound making for guitars
    image Adaptive speech enhancement for home audio devices
    Sound making in electric guitar playing is a very delicate process, and it is especially not easy for beginners to get the sound they want using amplifiers and effects pedals. In this internship, as a member of a team dealing with machine learning and audio signal processing, the intern will be expected to develop a technology that proposes parameters for amplifiers and audio effects to create the desired sound, mainly based on machine learning technology.
    SKILL
    • Required: Expertise in programming (Python,C++), audio signal processing, and machine learning
    • Welcomed: Experience in guitar playing
  • Room acoustic optimizer prototyping using smartphone
    image Room acoustic optimizer prototyping using smartphone
    Smartphones have become everyday items, and their performance has improved greatly. Integrating their many sensors (e.g. microphones, cameras) with home audio systems has the potential to provide a more optimal/personal listening experience. You will be a part of a team tasked with developing a room optimizer system with a smartphone through statistical signal processing and machine learning.
    SKILL
    • Required: Expertise in programming (MATLAB/Simulink, C/C++, Python), audio signal processing
    • Strongly welcomed: Background in mathematics for machine learning
    • Welcomed: Experience in smartphone application development
  • AI-powered agent for music ensemble
    image Scene identification of live music with multichannel audio
    Understanding and generating a music performance by a computer enables a wide variety of applications that add value to the experience of playing a musical instrument. In this internship, we will work on machine learning techniques related to music performance and/or motion generation or recognition, for the purpose of providing an interactive music performance agent. We will provide two tracks for this internship:
    (1) The intern will be expected to apply machine learning to create an interactive virtual musician.
    (2) The intern will be expected to create an interactive virtual musician system for a music ensemble.
    SKILL
    (1)
    • Required: Expertise in programming (Python,C++), music information retrieval, and machine learning
    • Welcomed: Expertise in human-computer interaction, experience in handling human motion data (e.g. BVH data)
    (2)
    • Required: Experience in creating interactive systems (experience in languages e.g., Max/MSP/Jitter, TouchDesigner, Unity, UE, HTML+JS), experience with machine learning frameworks (e.g. torch, TF, CoreML)
    • Welcomed: Expertise in human-computer interaction or music informatics research, knowledge of character animation, experience in creating VR/XR systems

Send a message via this contact form, with your desired field and a list of your research interests, with the subject “Internship”.