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Toda Lab (Speech and Audio Information Processing)
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A lab that studies information processing of speech, music, and environmental sounds.
AboutAbout the lab
Handling speech, music, and environmental sounds through information processing.
The Toda Lab studies speech information processing, music information processing, and sound environment information processing.
For speech, the lab covers voice conversion that changes voice quality, speech synthesis, speech recognition, spoken dialogue, and speech translation.
For music, it covers singing voice conversion and synthesis, automatic music transcription, and music source separation. For sound environments, it covers acoustic event recognition, anomalous sound detection, and sound source separation.
This page is Professor Toda's personal website; the lab has a separate homepage.
Key terms
- Voice conversion
- Processing that converts or controls voice characteristics such as voice quality
- Acoustic event recognition
- Processing that recognizes the types of sounds occurring in the surroundings
- Sound source separation
- Processing that separates a mixture of sounds into the sound of each individual source
ResearchResearch themes
The lab studies information processing such as analysis, generation, and recognition, targeting speech, music, and surrounding sounds. The research is divided into speech information processing, music information processing, and sound environment information processing.
*Illustrative imageSpeech conversion, synthesis, and recognition
The lab covers voice conversion, speech synthesis, speech analysis, speech recognition, spoken dialogue, and speech translation. It also lists extending speech production abilities, such as speaking assistance and enhancement of body-conducted speech, and detection of synthetic speech.
*Illustrative imageInformation processing of singing voices and musical sounds
The lab covers voice quality estimation for singing voices, singing voice conversion, singing voice synthesis, and singing assistance. For musical sounds, it lists automatic music transcription, score following, similarity learning, music source separation, modeling of performance patterns, and automatic composition.
*Illustrative imageRecognition and separation of surrounding sounds
The lab covers acoustic event recognition, audio captioning, anomalous sound detection, and sound source separation. It also lists multichannel acoustic signal processing, such as microphone array processing, and suppression of interfering sounds.
MembersFaculty
- ProfessorTomoki Toda
- Assistant ProfessorHUANG WEN CHIN
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Studio microphone with pop-shield crop” Galak76 / CC BY-SA 3.0 (cropped)
- Speech conversion, synthesis, and recognition: “DECtalk DCT01 and Tink” Emgaol / CC BY 3.0 (cropped)
- Information processing of singing voices and musical sounds: “Nabucco, score, 2014” Gerarus / CC BY-SA 4.0 (cropped)
- Recognition and separation of surrounding sounds: “ICE noise measurement station” Urs Schönholzer / CC BY 4.0 (cropped)
- Related lab (Ide Lab (Contents Science Lab)): “Video editing color keyboard with Yamaha AW4416 Recording Workstation ( by Ben2742) pixabay - 660070” Ben2742 / CC0 (cropped)
- Related lab (Deguchi Lab): “Unmarked Nissan Rogue - Possible Test Autonomous Vehicle - San Francisco, May 2025 05” 9yz / CC BY 4.0 (cropped)
- Related lab (Fujii Lab): “Bones Studio hala” Gabriela Cybulska / CC BY-SA 4.0 (cropped)
- Related lab (Fundamental Intelligent Informatics Visiting Faculty Lab (Ito & Tawara)): “Dobot Magician in Robotics Laboratory 02” Giacomo Alessandroni / CC BY-SA 4.0 (cropped)
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