29 search results - page 2 / 6 » Detection-based speech recognition with sparse point process... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
IPCV
2008
13 years 7 months ago
2008
- Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applicatio...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
ACL
2001
13 years 7 months ago
2001
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
Audio segmentation is an essential preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition performance. We introduce a no...