Articulatory speech recognition

This article will address the importance of Articulatory speech recognition in today's society. Articulatory speech recognition has gained relevance in different areas, from fashion to technology, including culture and politics. Its influence has spread significantly in recent years, generating a profound impact on the way people interact and relate to each other. That is why it is essential to analyze in depth the role that Articulatory speech recognition currently plays, as well as its possible implications in the short and long term. To this end, different perspectives and case studies will be examined to better understand the importance and scope of Articulatory speech recognition in contemporary society.

Articulatory speech recognition means the recovery of speech (in forms of phonemes, syllables or words) from acoustic signals with the help of articulatory modeling or an extra input of articulatory movement data.[1] Speech recognition (or automatic speech recognition, acoustic speech recognition) means the recovery of speech from acoustics (sound wave) only. Articulatory information is extremely helpful when the acoustic input is in low quality, perhaps because of noise or missing data.

Measurable information from the articulatory system (e.g. tongue, jaw movements) can supplement acoustic signals to improve phone recognition accuracy by 2%. However, attempts to estimate articulatory data from acoustic signals alone have not significantly enhanced recognition performance.[2]

How it relates

References

  1. ^ J. Frankel and S. King, "ASR – articulatory speech recognition" In Proc. Eurospeech, pp. 599–602, Aalborg, Denmark, Sep. 2001.
  2. ^ Bose, K. S.; Sarma, R. H. (1975-10-27). "Delineation of the intimate details of the backbone conformation of pyridine nucleotide coenzymes in aqueous solution". Biochemical and Biophysical Research Communications. 66 (4): 1173–1179. doi:10.1016/0006-291x(75)90482-9. ISSN 1090-2104. PMID 2.

See also


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