Automatic duration-related salience detection in Brazilian Portuguese read and spontaneous speech
Plínio Almeida Barbosa · 2010
This work presents an automatic prosodic salience detector algorithm which does not require the use of language-specific duration values.It is implemented in two steps: automatic detection of vowel onsets (VO) followed by the detection of normalized VO-to-VO duration peaks.The algorithm's performance is compared to that of a semi-automatic version.Perceived salience is also compared.For both fast and slower read speech, precision and accuracy of perceived word salience are between 61 and 80 %.In a larger corpus of read and storytelling speech, precision is generally higher than 70 %, whereas accuracy is higher than 80 % when the automatic version is compared with the semi-automatic one.The automatic algorithm's performance is found to be similar to that of the prominence detector reported in [12].