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Description: 基于改进的隐马尔可夫和神经网络混合模型的语音识别-Based on an improved Hidden Markov and neural network hybrid model of voice recognition
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Size: 302080 |
Author: 张大鹏 |
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Description: 本文设计了一种混合模型的票据识别系统,识别率可达96.5％-In this paper, the design of a hybrid model of the instrument recognition systems, recognition rate up to 96.5
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Size: 389120 |
Author: 杨絮 |
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Description: SPEECH/MUSIC DISCRIMINATION FOR RADIO BROADCASTS USING A HYBRID HMM-BAYESIAN NETWORK ARCHITECTURE
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Size: 90112 |
Author: khanhhoa |
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Description: This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition.
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Size: 52224 |
Author: rupesh |
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Description: A Speech Recognition System based on a Hybrid HMM/SVM Architecture.A good paper on hybrid model of speech recgnition
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Size: 203776 |
Author: siva |
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Description: matlab可用的HMM工具箱，包括DHMM，GHMM和混合HMM等-HMM toolbox matlab available, including DHMM, GHMM and hybrid HMM, etc.
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Size: 37888 |
Author: dongcheng |
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Description: this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing. -this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing.
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Size: 887808 |
Author: abbas |
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Description: Abstract: Smartphone positioning is an enabling technology used to create new business
in the navigation and mobile location-based services (LBS) industries. This paper presents
a smartphone indoor positioning engine named HIPE that can be easily integrated with
mobile LBS. HIPE is a hybrid solution that fuses measurements of smartphone sensors
with wireless signals. The smartphone sensors are used to measure the user’s motion
dynamics information (MDI), which represent the spatial correlation of various locations.
Two algorithms based on hidden Markov model (HMM) problems, the grid-based filter
and the Viterbi algorithm, are used in this paper as the central processor for data fusion to
resolve the position estimates, and these algorithms are applicable for different
applications, e.g., real-time navigation and location tracking, respectively.
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Size: 1102848 |
Author: mfouad |
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Description: A Hybrid SVM/HMM Acoustic Modeling Approach to Automatic Speech Recognition
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Size: 231424 |
Author: rimi |
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Description: 基于驾驶模拟器实验数据,结合高斯混合隐马尔可夫模型(GM-HMM),对高速公路的超车行为进行 辨 识 , 并 对 驾 驶 员 意 图 和 超 车 行 为 是 否 正 常 进 行 分 析 。 结 果 表 明 , 基 于 GM-HMM 的 辨 识 方 法 能 有 效 辨 识 多 种 驾 驶 工况下的不正常超车行 为 。(Based on driving simulator experiment data, combined with Gauss hybrid hidden Markov model (GM-HMM), we identify Expressway Overtaking Behavior and analyze whether driver intention and overtaking behavior are normal. The results show that the identification method based on GM-HMM can effectively identify the abnormal Overtaking Behavior under a variety of driving conditions.)
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Size: 423936 |
Author: kkladl |
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