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Context-Dependent Deep Neural Networks For Audio …
https://www.microsoft.com/en-us/research/publication/context-dependent-deep-neural-networks-for-audio-indexing-of-real-life-data/
This paper takes CD-DNN-HMM based recognition into a real-life deployment for audio indexing. We find that for our best speaker-independent CD-DNN-HMM, with 32k senones trained on 2000h of data, the one-fourth reduction does carry over to inhomogeneous field data (video podcasts and talks).
Content-based indexing and retrieval of audio data using ...
https://ieeexplore.ieee.org/document/871501/
This paper proposes a content-based audio information retrieval and indexing technique based on wavelet transforms. The presented approach uses the multiresolution decomposition property of the discrete wavelet transform to analyze audio data. The wavelet decomposition of an audio signal resembles decomposition in sound octaves. A hierarchical …
(PDF) Generic content-based audio indexing and retrieval ...
https://www.researchgate.net/publication/3359548_Generic_content-based_audio_indexing_and_retrieval_framework
audio-based multimedia indexing and retrieval systems. It has a multim odal structure, which supports both bit-stream mode for MP3 and AAC audi o, and a …
Features for Content-Based Audio Retrieval
https://publik.tuwien.ac.at/files/PubDat_186351.pdf
The increasing amounts of publicly available audio data demand for efficient indexing and annotation to enable access to the media. Consequently, content-based audio retrieval has been a growing field of research for several decades. Today, content-based audio retrieval systems are employed in manifold appli-
Indexing and Retrieval of Audio: A Survey | SpringerLink
https://link.springer.com/article/10.1023/A:1012491016871
With more and more audio being captured and stored, there is a growing need for automatic audio indexing and retrieval techniques that can retrieve relevant audio pieces quickly on demand. This paper provides a comprehensive survey of audio indexing and retrieval techniques. We first describe main audio characteristics and features and discuss techniques for classifying audio …
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