Tian, "HMM- based audio keyword generation," Kiyoharu Aizawa, Yuichi Nakamura, Shin'ichi Satoh. Advances in Multimedia Informa- tion Processing - PCM 2004: 5th Paciſc Rim Conference on Multimedia., 2004.M. Xu, L. Y. Duan, J. Cai, L. T. Chia, C. Xu, and Q. Tian. HMM-based ...
However, a weakness of our previous work is that audio signals are artificially segmented into 20 ms frames for frame-based SVM identification without any contextual information. In this paper, we propose a classification method based on Hidden Markov Modal (HMM) for audio keyword identification as...
The specific problem addressed in this paper is the algorithmic generation of new harmonizations of one jazz standard melody based on the harmony of a different jazz standard. A method that allows this type of cross-harmonization is aimed at enabling new possibilities for music exploration emerging...
We have kept the old keyword arguments for compatibility currently, but we will be removing them well before the final 1.0. tf.argmax: dimension becomes axis tf.argmin: dimension becomes axis tf.count_nonzero: reduction_indices becomes axis tf.expand_dims: dim becomes axis tf.reduce_all: ...
Tian, "HMM- Based audio keyword generation," in Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III, Berlin, Heidelberg, 2004, pp. 566-574.M. Xu, L. Duan, J. Cai, L. Chia, C. Xu, and Q. Tian. HMM-based audio keyword ...
In this demo, we present a flexible Hidden Markov Model (HMM)-based audio keyword generation system. This is motivated by the successful story of ... X Min,LY Duan,LT Chia,... - Acm International Conference on Multimedia 被引量: 120发表: 2004年 [Lecture Notes in Computer Science] Advanc...
HMM-Based Audio Keyword Generation 来自 万方 喜欢 0 阅读量: 70 作者:X Min,LY Duan,J Cai,LT Chia,T Qi 摘要: With the exponential growth in the production creation of multimedia data, there is an increasing need for video semantic analysis. Audio, as a significant part of video, provides...