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ARCDB
The Audio Research Database - ARCDB - is a tribute to Audio Research Corporation (ARC) for their tremendous contributions to the world of high end audio. About. Contribute. The purpose of this site is to provide information about all ARC products, past and present. This site is not authorized by, endorsed by, or have any official affiliation ...
ARCDB
https://www.arcdb.ws/amplifiers
The Audio Research Database - ARCDB - is a tribute to Audio Research Corporation (ARC) for their tremendous contributions to the world of high end audio. About. Contribute. The purpose of this site is to provide information about all ARC products, past and present. This site is not authorized by, endorsed by, or have any official affiliation ...
Audio Database
https://audio-database.com/
Audio Database; This homepage posts data of audio equipment released in the past. Update. 25/5/2019 Update Acapella category 18/5/2019 Update AAD category Update history. 2018- ... (Acoustic Research) ASHIDAVOX. ATC. AUDIO ALCHEMY. AUDIO OF OREGON. AURATONE. AUREX/TOSHIBA. AVALON ACOUSTICS. B. BEVERIDGE. BOSE. BOZAK. B&W/SOLID. C. CEC ...
The Audio Research Database - Audiogon Discussion Forum
https://forum.audiogon.com/discussions/the-audio-research-database
The Audio Research Database (ARCDB) contains information about products from Audio Research. The goal is to cover all products thay have ever made. Feel free to visit it at: www.arcdb.ws. manfredpersson 11-28-2003 6:48pm. 15 responses Add your response.
Audio Databases | Yale University Library
https://web.library.yale.edu/music/audio-databases
Included in the database are the songs of Civil Rights, political campaigns, Prohibition, the Revolutionary War, the Civil War, anti-war protests and more. Music Online: Classical Music Library Streaming audio sound recordings of Western art music which includes repertoire from more than 32 recording labels. Music Online: Contemporary World Music
AudioSet - Google Research
https://research.google.com/audioset/
Large-scale data collection. To collect all our data we worked with human annotators who verified the presence of sounds they heard within YouTube segments. To nominate segments for annotation, we relied on YouTube metadata and content-based search. Our resulting dataset has excellent coverage over the audio event classes in our ontology ...
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