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(PDF) Classification of general audio data for content ...
https://www.researchgate.net/publication/222666693_Classification_of_general_audio_data_for_content-based_retrieval
tion of general audio data (GAD), i.e., audio data from sources such as news and radio broadcasts, and archived audiovisual documents. The moti- vation is that …
Classification of general audio data for content-based ...
https://www.sciencedirect.com/science/article/pii/S0167865500001197
Abstract. In this paper, we address the problem of classification of continuous general audio data (GAD) for content-based retrieval, and describe a scheme that is able to classify audio segments into seven categories consisting of silence, single speaker speech, music, environmental noise, multiple speakers' speech, simultaneous speech and music, and …
Intro to Audio Analysis: Recognizing Sounds Using …
https://hackernoon.com/intro-to-audio-analysis-recognizing-sounds-using-machine-learning-qy2r3ufl
Intro to Audio Analysis: Recognizing Sounds Using Machine Learning. September 12th 2020 14,058 reads. Sound analysis is a challenging task associated to various modern applications, such as speech analytics, music information retrieval, speaker recognition, behavioral analytics and auditory scene analysis for security, health and environmental ...
What is audio data? - Quora
https://www.quora.com/What-is-audio-data
However audio data in the computer will be stored in digital form, a series of 1’s or 0’s, usually using a format known as PCM (pulse-code modulation) by taking samples at a repeated rate (called the sample rate or sampling rate), at a particular resolution expressed as the number of bits per sample (called the bit-depth). For example, PCM audio stored on a compact disk (CD) …
Automatic Transcription of General Audio Data: Preliminary ...
http://www.asel.udel.edu/icslp/cdrom/vol2/588/a588.pdf
data entry (e.g., entering a credit card number), or document prepa-ration. More recently, ASR research has broadenedits scope to in-clude the transcription of general audio data (GAD), from sources such as radio, television, or movies. This shift in research focus is largely brought on bythe growing needto shift content-basedinfor-
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