We have collected the most relevant information on A Similarity Measure For Automatic Audio Classification. Open the URLs, which are collected below, and you will find all the info you are interested in.
A Similarity Measure for Automatic Audio Classification
https://www.aaai.org/Papers/Symposia/Spring/1997/SS-97-03/SS97-03-001.pdf
A Similarity Measure for Automatic Audio Classification Jonathan Foote Institute of Systems Science National University of Singapore Singapore 119597 jtf~iss.nus.sg Abstract This paper presents recent results using statistics gen-erated by a MMl-supervised vector quantizer as a measure of audio similarity. Such a measure has
A Similarity Measure for Automatic Audio Classification
https://www.researchgate.net/publication/2349954_A_Similarity_Measure_for_Automatic_Audio_Classification
Download Citation | A Similarity Measure for Automatic Audio Classification | This paper presents recent results using statistics generated by …
CiteSeerX — A similarity measure for automatic audio ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.569.7839
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): jtf~iss.nus.sg This paper presents recent results using statistics gen-erated by a MMl-supervised vector quantizer as a measure of audio similarity. Such a measure has proved successful for talker identification, and the ex-tension from speech to general audio, such as music, is straightforward.
A Similarity Measure for Automatic Audio Classification …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.5066
A classifier that distinguishes speech from music and non-vocal sounds is presented, as well as experimental results showing how perfect classification accuracy may be achieved on a small corpus using substantially less than two seconds per test audio file. The techniques a presented here may be extended to other applications and domains, such as audio retrieval-by …
A Similarity Measure for Automatic Audio Classification
https://www.aaai.org/Library/Symposia/Spring/1997/ss97-03-001.php
A Similarity Measure for Automatic Audio Classification. Jonathan Foote. This paper presents recent results using statistics generated by a MMl-supervised vector quantizer as a measure of audio similarity. Such a measure has proved successful for talker identification, and the extension from speech to general audio, such as music, is straightforward.
A Similarity Measure for Automatic Audio Classification
https://www.semanticscholar.org/paper/A-Similarity-Measure-for-Automatic-Audio-Foote/0d9b13a76f1f8ffe9430bb83c99ac37de47c5c97
Computer Science. This paper presents recent results using statistics generated by a MMl-supervised vector quantizer as a measure of audio similarity. Such a measure has proved successful for talker identification, and the extension from speech to general audio, such as music, is straightforward. A classifier that distinguishes speech from music and non-vocal …
best similarity measure for audio classification - Signal ...
https://dsp.stackexchange.com/questions/28612/best-similarity-measure-for-audio-classification
As @Marcus Müller wrote, the best similarity remains an open question depending on the context. For birds which imitate human speech, you can have a look at: The transformation of birds sounds into "speech".Other references are: A procedure for an automated measurement of song similarity or Parametric Representations of Bird Sounds for Automatic Species …
Now you know A Similarity Measure For Automatic Audio Classification
Now that you know A Similarity Measure For Automatic Audio Classification, we suggest that you familiarize yourself with information on similar questions.
