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STRATEGIES FOR AUTOMATIC SEGMENTATION OF AUDIO …
https://www.ee.columbia.edu/~dpwe/papers/KempSWW00-audseg.pdf
STRATEGIES FOR AUTOMATIC SEGMENTATION OF AUDIO DATA Thomas Kemp Michael Schmidt Martin Westphal Alex Waibel Interactive Systems Laboratories, ILKD University of Karlsruhe 76128 Karlsruhe, Germany ABSTRACT In many applications, like indexing of broadcast news or surveil-lance applications, the input data consists of a continuous, unseg-
Strategies for automatic segmentation of audio data (2000)
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.6686
audio data automatic segmentation segment boundary precision new hybrid algorithm homogeneous segment metric-based segmenter performes input data consists simpler energy-based algorithm speech recognition technology model-based segmenters short length surveillance application broadcast news test data unsegmented audio stream preliminary …
(PDF) Strategies for Automatic Segmentation of Audio Data
https://www.researchgate.net/publication/2618591_Strategies_for_Automatic_Segmentation_of_Audio_Data
Strategies for Automatic Segmentation of Audio Data. July 2000; Acoustics, Speech, and Signal Processing, 1988. ... Audio data was extracted from continuous recordings conducted on …
Strategies for automatic segmentation of audio data
https://www.semanticscholar.org/paper/Strategies-for-automatic-segmentation-of-audio-data-Kemp-Schmidt/9e114ce1a7f72a8f40ac93b5aa81f0a9cd80154d/figure/3
Strategies for automatic segmentation of audio data @article{Kemp2000StrategiesFA, title={Strategies for automatic segmentation of audio data}, author={Thomas Kemp and Michael Schmidt and Martin Westphal and Alexander H. Waibel}, journal={2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. …
Strategies for Automatic Segmentation of Audio Data …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.8999
BibTeX @INPROCEEDINGS{Kemp00strategiesfor, author = {Thomas Kemp and Michael Schmidt and Martin Westphal and Alex Waibel}, title = {Strategies for Automatic Segmentation of Audio Data}, booktitle = {in Proceedings of ICASSP-2000}, year = {2000}, pages = {1423--1426}}
A Clustering Strategy for the Key Segmentation of Musical ...
https://direct.mit.edu/comj/article/37/1/52/94415/A-Clustering-Strategy-for-the-Key-Segmentation-of
This article examines the automatic segmentation of audio data into parts composed in different keys, using clustering on chroma-related spaces. To this end, the k -means algorithm is used and a methodology is proposed so that useful information about key changes can be derived, regardless of the number of clusters or key changes.
Audio Segmentation - McGill University
http://www.music.mcgill.ca/~ich/classes/mumt611_07/presentations/shiyong/shiyong07audio.pdf
[Kemp00] Strategies for automatic segmentation of audio data. IE[Kemp00] Strategies for automatic segmentation of audio data. IEEE International Conference on Acoustics, Speech, and Signal Processing. [Tritschler99] Improved Speaker Segmentation and Segments Cluste[Tritschler99] Improved Speaker Segmentation and Segments Clustering Using the
A Clustering Strategy for the Key Segmentation of Audio …
https://www.researchgate.net/publication/260203708_A_Clustering_Strategy_for_the_Key_Segmentation_of_Audio_Music
This article examines the automatic segmentation of audio data into parts composed in different keys, using clustering on chroma-related spaces. ... the potential of the strategy under discussion ...
Automatic Segmentation - an overview | ScienceDirect …
https://www.sciencedirect.com/topics/computer-science/automatic-segmentation
In large archives of raw audio and video, it is useful to have some automatic indexing and segmentation of the raw recordings. There has been quite a bit of work on the video side of the segmentation problem using scene changes and camera movement. 7 The audio soundtrack of video as well as audio-only recordings can be automatically indexed and ...
AUTOMATIC TRANSCRIPTION OF GENERAL AUDIO DATA: …
https://groups.csail.mit.edu/sls/publications/1997/eurospeech97-spina.pdf
The task of automatically transcribing general audio data is very different from those usually confronted by current automatic speech recognition systems. The general goal of our work is to determine the optimal training strategy for recognizing such data. Specifically, we have studied the effects of different speak-ing environments on a ...
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