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Audio research group - Tampere University - News
https://webpages.tuni.fi/arg/news
Our research group has published open dataset for acoustic scene classification research, TUT Acoustic Scenes 2017. The dataset consists of recordings from various acoustic scenes, all having distinct recording locations. For each recording location, 3-5 minute long audio recording was captured.
Audio research group - Tampere University - Home
https://webpages.tuni.fi/arg/
Audio research group - Tampere University - Home. image/svg+xml. Audio research group at Tampere University. Sounds like science. Audio Research Group conducts internationally renowned research in audio, speech, and music signal processing at Tampere University. Research group. Group members.
Audio research group - Tampere University - About us
https://webpages.tuni.fi/arg/index.php/about-us
Research The research of the group focuses on the development of signal processing and machine learning algorithms for the content analysis of sounds, audio classification, sound source separation, automatic music transcription, self-localization, speaker tracking, speech recognition, but includes also other areas like speech synthesis.
Audio Research Group, Tampere University · GitHub
https://github.com/TUT-ARG/
Audio Research Group, Tampere University Tampere, Finland http://arg.cs.tut.fi/ Overview Repositories Packages People Projects Popular repositories sed_eval Public Evaluation …
Audio research group - Tampere University - Code
https://webpages.tuni.fi/arg/index.php/code
Audio research group, Tampere University. Python code of the MaD TwinNet. Monaural singing voice separation task focuses on the prediction of the …
Tampere University, Audio Research Group | Zenodo
https://zenodo.org/communities/tut-arg/
Tampere University, Audio Research Group Recent uploads. More. New upload Community. Tampere University, Audio Research Group. Curated by: toni-heittola Curation policy: Not specified Created: February 4, 2016 Harvesting API: OAI-PMH Interface. Want your upload to appear in this community?
Audio Research – High-end audio equipment
https://audioresearch.com/
Audio Research continues its dedication to unparalleled musical expression and crafting components of the highest quality and lasting value for its customers. Our long-term dedication to service is peerless in this industry (Audio Research, with few exceptions, can repair anything ever produced during its entire history).
About Me - Annamaria Mesaros
https://homepages.tuni.fi/annamaria.mesaros/about-me
The Audio Research Group has been an active contributor to establishing DCASE as a platform for discussion, comparison and advancement of methods for environmental sound analysis and recognition. With a strong emphasis on reproducible research , DCASE challenges provide open data for research and foster open communication between academics and industry.
Sound event detection in real life audio - DCASE
http://dcase.community/challenge2017/task-sound-event-detection-in-real-life-audio
We introduce TUT Acoustic Scenes 2016 database for environmental sound research, consisting ofbinaural recordings from 15 different acoustic environments. A subset of this database, called TUT Sound Events 2016, contains annotations for individual sound events, specifically created for sound event detection.
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