M
Manoj Plakal
Researcher at Google
Publications - 31
Citations - 5792
Manoj Plakal is an academic researcher from Google. The author has contributed to research in topics: Unsupervised learning & Cache coherence. The author has an hindex of 16, co-authored 30 publications receiving 3735 citations. Previous affiliations of Manoj Plakal include University of Wisconsin-Madison.
Papers
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Proceedings ArticleDOI
Audio Set: An ontology and human-labeled dataset for audio events
Jort F. Gemmeke,Daniel P. W. Ellis,Dylan Freedman,Aren Jansen,Wade Lawrence,R. Channing Moore,Manoj Plakal,Marvin Ritter +7 more
TL;DR: The creation of Audio Set is described, a large-scale dataset of manually-annotated audio events that endeavors to bridge the gap in data availability between image and audio research and substantially stimulate the development of high-performance audio event recognizers.
Proceedings ArticleDOI
CNN architectures for large-scale audio classification
Shawn Hershey,Sourish Chaudhuri,Daniel P. W. Ellis,Jort F. Gemmeke,Aren Jansen,R. Channing Moore,Manoj Plakal,Devin Platt,Rif A. Saurous,Bryan Seybold,Malcolm Slaney,Ron Weiss,Kevin W. Wilson +12 more
TL;DR: In this paper, the authors used various CNN architectures to classify the soundtracks of a dataset of 70M training videos (5.24 million hours) with 30,871 video-level labels.
Dapper, a Large-Scale Distributed Systems Tracing Infrastructure
Benjamin H. Sigelman,Luiz Andre Barroso,Mike Burrows,Pat Stephenson,Manoj Plakal,Donald Beaver,Saul Jaspan,Chandan Shanbhag +7 more
TL;DR: The design of Dapper is introduced, Google’s production distributed systems tracing infrastructure is described, and how its design goals of low overhead, application-level transparency, and ubiquitous deployment on a very large scale system were met are described.
Posted Content
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey,Sourish Chaudhuri,Daniel P. W. Ellis,Jort F. Gemmeke,Aren Jansen,R. Channing Moore,Manoj Plakal,Devin Platt,Rif A. Saurous,Bryan Seybold,Malcolm Slaney,Ron Weiss,Kevin W. Wilson +12 more
TL;DR: This work uses various CNN architectures to classify the soundtracks of a dataset of 70M training videos with 30,871 video-level labels, and investigates varying the size of both training set and label vocabulary, finding that analogs of the CNNs used in image classification do well on the authors' audio classification task, and larger training and label sets help up to a point.
Proceedings ArticleDOI
Multicast snooping: a new coherence method using a multicast address network
E. Ender Bilir,Ross M. Dickson,Ying Hu,Manoj Plakal,Daniel J. Sorin,Mark D. Hill,Darien Wood +6 more
TL;DR: Preliminary performance numbers with mostly SPLASH-2 benchmarks running on 32 processors show that multicast snooping can obtain data directly but apply to larger systems (like directories).