Presentation | 1995/9/11 Speaker Identification using Dynamic Features of Speech and Feature Map Tadashi Kitamura, Shinsai Takei, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We discuss for text-independent speaker recognition using dynamic features and a feature map. The model for each speaker consists of Kohonen's feature map and a predictive network. The first part of the model creates a feature map from the characteristic vectors of each speaker's speech and quantizes input speech into a specified vector on the map. The second part predicts transitional patterns of outputs on the feature map of the model and learns using a back-propagation algorithm. The final decision is made by a combination of VQ distortion and a prediction error. According to the speaker identification experiments for 8 speakers, it has been found that the combination of the feature map of mel cepstrum and the predictive network for the two-dimensional mel cepstrum gives the high score and exhibits the robustness for the time interval. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Speaker Identification / Feature Map / Predictive Network / Text Independent |
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Committee | DSP |
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Conference Date | 1995/9/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Digital Signal Processing (DSP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Speaker Identification using Dynamic Features of Speech and Feature Map |
Sub Title (in English) | |
Keyword(1) | Speaker Identification |
Keyword(2) | Feature Map |
Keyword(3) | Predictive Network |
Keyword(4) | Text Independent |
1st Author's Name | Tadashi Kitamura |
1st Author's Affiliation | Nagoya Institute of Technology() |
2nd Author's Name | Shinsai Takei |
2nd Author's Affiliation | Nagoya Institute of Technology |
Date | 1995/9/11 |
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Volume (vol) | vol.95 |
Number (no) | 226 |
Page | pp.pp.- |
#Pages | 7 |
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