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Notes
- 1.
At the time this book is being written, the package can be downloaded at http://htk.eng.cam.ac.uk.
- 2.
In this case, the decoding takes into account the fact that each sample corresponds to a single word and does not try to align the data with more than one word. This avoids deletion and insertion errors that are explained in the following.
- 3.
Call routing is the problem of automatically finding an operator capable of addressing the needs expressed by a person contacting a call center. In this case, a perfect transcription is not necessary; the only important thing is to recognize the few keywords identifying the user needs and the right operator.
- 4.
The data is publicly available and it can be downloaded at the following ftp address: ftp.eng.cam.ac.uk/pub/data.
- 5.
At the time this book is being written, the proceedings are available online at the site http://nist.trec.gov.
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Camastra, F., Vinciarelli, A. (2015). Speech and Handwriting Recognition. In: Machine Learning for Audio, Image and Video Analysis. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-6735-8_12
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