Searching for "Frame Based Features." – sorted by Relevance.
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ABSTRACT SIGNAL MODELING WITH NON-UNIFORM TIME SAMPLING OF FEATURES FOR AUTOMATIC SPEECH
- extraction in speech. Frame-based features were computed based on an encoding of the global spectral shape
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Classification Of Tv Programs Based On Audio Information Using Hidden Markov Model
- forecasts. Eight frame-based audio features are used to characterize the low-level audio properties
- Cited by 19 (1 self) – Add To MetaCart
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Dominant feature vectors based audio similarity measure
- of an audio clip, especially when frame features change a lot along the time line. Evaluations on a content-based
- Cited by 2 (0 self) – Add To MetaCart
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A Segment-Based Speaker Verification System Using SUMMIT
- speech frames. Frame-based features may not necessarily distinguish speakers well. However
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Reliable Dissolve Detection
- -resolution approach is then used to detect transition. In a first step, various frame-based features are derived
- Cited by 16 (0 self) – Add To MetaCart
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The Stochastic Segment Model for Continuous Speech Recognition
- in speech recognition via statistical methods is to move from frame-based models, such as Hidden Markov
- Cited by 3 (1 self) – Add To MetaCart
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A Hierarchical Approach To Automatic Musical Genre Classification
- signal to the energy of the original signal. 4. FEATURE SELECTION Altogether, 20 frame-based features
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From HMMs to Segment Models: A Unified View of Stochastic Modeling for Speech Recognition
- on feature extraction imposed by frame-based observations. The limitation that the HMM state duration model
- Cited by 139 (5 self) – Add To MetaCart
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A Dyanamic Cross-Reference Pruning Strategy For
- of this approach is that only frame-based features can be incorporated (or only time synchronized feature streams
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Sensor Network for the Monitoring of Ecosystem: Bird Species Recognition
- bird recognition systems, frame-based features are directly used as inputs to MLP NNs [5]. However
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