Nakajima et al., 2016 - Google Patents
DNN-based environmental sound recognition with real-recorded and artificially-mixed training dataNakajima et al., 2016
- Document ID
- 8802853619259405147
- Author
- Nakajima Y
- Naito T
- Sunago N
- Ohshima T
- Ono N
- Publication year
- Publication venue
- INTER-NOISE and NOISE-CON Congress and Conference Proceedings
External Links
Snippet
In this paper, we investigate environmental sound recognition using Deep Neural Network (DNN). Generally, preparing the sufficient amount of training data is important in machine learning. Because different environmental sounds, for example cicada sound and …
- 241000931705 Cicada 0 abstract description 19
Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
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