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Context Extraction Through Audio Signal Analysis ...
https://link.springer.com/chapter/10.1007%2F978-0-387-76569-3_1
In this chapter we cover some of the essential techniques for performing context analysis from audio signals. We describe the most popular approaches in representing audio signals, learning their structure and constructing classifiers that recognize specific sounds, as well as algorithms for locating where sounds are coming from.
Context Extraction Through Audio Signal Analysis
https://www.researchgate.net/publication/226004348_Context_Extraction_Through_Audio_Signal_Analysis
Smaragdis, Radhakrishnan, and Wilson (2009) describe some approaches for context extraction through audio signal analysis. Some other works use statistical approaches such as Hidden Markov Models...
Adaptive Context Recognition Based on Audio Signal
https://ecse.rpi.edu/~cvrl/Publication/pdf/Zeng2008.pdf
audio based context recognition is to equip the sensing devices with classification algorithms that can automatically classify the environments into pre-defined classes according to the extracted auditory features. In this paper, we first extract various features from the audio signals. We then perform a feature analysis to
Extracting meaning from audio signals –a machine learning ...
http://www2.imm.dtu.dk/pubdb/edoc/imm5874.pdf
•most real world problems are too complex to be handled by classical physical models and systems engineering approach •in most real world situations there is access to data describing properties of the problem •learning machines can offer – learning of optimal prediction/decision/action – adaptation to the usage environment – explorative analysis …
CiteSeerX — Citation Query Audio Signal Modeling with ...
https://citeseerx.ist.psu.edu/showciting?cid=128796&start=10
Melody is the pitch perceived from the most dominant source in the polyphonic music. This paper describes our algorithm for melody extraction submitted for the audio melody extraction task of the Music Information Retrieval Evaluation eXchange (MIREX) 2012. The task consists of two parts: melody estimation and voicing detection.
pyAudioAnalysis: An Open-Source Python Library for …
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0144610
this paper presents pyaudioanalysis, an open-source python library that provides a wide range of audio analysis procedures including: feature extraction, classification of audio signals, supervised and unsupervised segmentation and content visualization. pyaudioanalysis is licensed under the apache license and is available at github ( …
UWHear: Through-wall Extraction and Separation of Audio ...
https://dl.acm.org/doi/pdf/10.1145/3384419.3430772
radio-frequency (RF) probe signals that will be reflected by the vibrating surface of a sound source. It subsequently analyzes these reflections to recover the source vibrations and to reconstruct the sound. To ensure satisfying performance in noisy environments, these RF audio sensing systems employ highly directional beams
Applications of Fourier Analysis to Audio Signal ...
https://scholarship.claremont.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1575&context=cmc_theses
rently used to detect chords from raw audio clips. An understanding of the analysis process is crucial to the appreciation of the mathematics. We break down the model into signal analysis and chord tting components and provide a brief background into what each entails. 3
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