TRAP-TANDEM: Data-driven extraction of temporal features from speech
| Type of publication: | Idiap-RR |
| Citation: | hynek-rr-03-50 |
| Number: | Idiap-RR-50-2003 |
| Year: | 2003 |
| Institution: | IDIAP |
| Address: | Martigny, Switzerland |
| Note: | large part published in Proceedings of ASRU-2003 |
| Abstract: | Conventional features in automatic recognition of speech describe instantaneous shape of a short-time spectrum of speech. The TRAP-TANDEM features describe likelihoods of sub-word classess at a given time instant, derived from temporal trajectories of band-limited spectral densities in the vicinity of a given time instant. The paper presents some rationale behind the data-driven TRAP-TANDEM approach, briefly describes the technique, point to relevant oublications and summarizes results achieved so far. |
| Userfields: | ipdinar={2003}, ipdmembership={speech}, language={English}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Crossref by |
hynek-rr-03-50b |
| Added by: | [UNK] |
| Total mark: | 0 |
|
Attachments
|
|
|
|
|
Notes
|
|
|
|
|
