Moftah et al., 2018 - Google Patents
Arabic dialect identification based on motif discovery using GMM-UBM with different motif lengthsMoftah et al., 2018
- Document ID
- 17206487345076497208
- Author
- Moftah M
- Fakhr M
- El Ramly S
- Publication year
- Publication venue
- 2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP)
External Links
Snippet
Arabic Dialect Identification (DID) has attracted the attention of many researchers. In this paper, we introduce a new technique for extracting the characteristics of different Arabic dialects direct from the speech signal by discovering the repeated sequences (motifs) that …
- 239000011159 matrix material 0 abstract description 17
Classifications
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- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/065—Adaptation
- G10L15/07—Adaptation to the speaker
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- G10L15/14—Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
- G10L15/142—Hidden Markov Models [HMMs]
- G10L15/144—Training of HMMs
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