Teager energy based feature parameters for speech recognition in car noise
Çetin, A. E.
IEEE Signal Processing Letters
Institute of Electrical and Electronics Engineers
259 - 261
Item Usage Stats
MetadataShow full item record
In this letter, a new set of speech feature parameters based on multirate signal processing and the Teager energy operator is introduced. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filterbank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse discrete cosine transform (DCT) computation. The new feature parameters have robust speech recognition performance in the presence of car engine noise.
Discrete cosine transform (DCT)
Multirate signal processing
Teager energy operator