A new speech coding system based on ML-BEATS
| Project/Area Number |
20760229
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Communication/Network engineering
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| Research Institution | The University of Tokushima |
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Principal Investigator |
SUZUKI Motoyuki The University of Tokushima, 大学院・ソシオテクノサイエンス研究部, 准教授 (30282015)
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| Research Collaborator |
ADACHI Masashi 徳島大学, 大学院・先端技術科学教育部システム創成工学専攻, 博士前期課程学生
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | ML-BEATS法 / 音声符号化 / セグメント量子化 / HMM |
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| Research Abstract |
In this research, a new speech coding system based on ML-BEATS has been developed. ML-BEATS method can split an input sequence into many sub-sequences and cluster these. This method has been applied to segment quantization. Experimental results showed the proposed method decreased bit rate, but increased spectral distortion compared with the G.729.
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Report
(4 results)
Research Products
(12 results)
