Global Internship：Research & Development Division

The Summer 2023 internship application period is closed. If you have already submitted your application, you will be notified by the end of December 2022.

Outline (2023 Season)Closed

Fields

• Ear-shape and machine learning based acoustic simulation HRTF

  
  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

  
  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

  
  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

  
  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