[PDF] Top 20 Robust Features for Effective Speech and Music Discrimination
Has 10000 "Robust Features for Effective Speech and Music Discrimination" found on our website. Below are the top 20 most common "Robust Features for Effective Speech and Music Discrimination".
Robust Features for Effective Speech and Music Discrimination
... modal speech and music signal ...proposed features extraction is 1 second (100 frames) with 10 new input frames each ...for speech and music ...MFCC_D_A features are ...MFCC_D_A ... See full document
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Music detection from broadcast contents using convolutional neural networks with a Mel-scale kernel
... for music detection from broadcasting contents using the convolutional neural networks with a Mel-scale ...task, music segments should be annotated from the broadcast data, where music, ... See full document
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Music content authentication based on beat segmentation and fuzzy classification
... content-based music authentication algorithm, the general framework which is composed of two stages, ...original music signal is first segmented into variable frames by an effective beat tracking ... See full document
13
Wide Range Features Based On Speech Emotion Recognition for Sensible Effective Services
... the speech options, which permit clear discrimination among distinct ...divide speech signals into multiple little chunks called frames and construct a feature vector for every ...full speech ... See full document
7
Online Speech/Music Segmentation Based on the Variance Mean of Filter Bank Energy
... online speech/music segmentation based on the variance mean of filter bank energy ...for speech than for ...for speech than for ...feature discrimination and segmentation ability ... See full document
13
A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... into speech or ...frequency-domain features, for speech and music signals separately, and estimating the optimal speech/music thresholds, based on the probability density ... See full document
14
A Fuzzy C Means based GMM for Classifying Speech and Music Signals
... the features from the speech and music files for ...average speech and music classification accuracy rate of the proposed method higher than GMM using EM ... See full document
7
Features and Model Adaptation Techniques for Robust Speech Recognition: A Review
... noisy speech |Y(k)| 2 , hence the estimated clean spectrum will be ...degrades speech recognition ...enhancing speech for hearing, spectral subtraction has also been used to preprocess noisy ... See full document
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Translucent Voices: Creating Sound Pedagogy And Safe Spaces For Transgender Singers In The Choral Rehearsal
... rhythm discrimination skills and ...organizing music into patterns and forms, and that those patterns and forms mirror the organizational structure of language phonology through speech ...in ... See full document
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ASSESSMENT OF PARTICIPATION OR MUSICALITY: PILOT STUDY AMONG ESTONIAN MUSIC TEACHERS
... the music lesson valued by majority of researchers (elliott, 1995; Green, 2008; lehmann et ...and music teachers share the same ...that music teachers working outside harjumaa county rated musical ... See full document
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Human pause and resume behaviours for unobtrusive humanlike in car spoken dialogue systems
... We think that the three main findings presented in the results are all good candidates for implementation. The different distributions of response times suggest that if an interruption occurs centrally, in the midst of a ... See full document
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A computational study on outliers in world music
... world music cultures has been traditionally studied with non-computa- tional ...world music using signal processing and data mining ...traditional music from around the world and quantified ... See full document
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Audiologic prognostic factors for hearing preservation following vestibular schwannoma surgery
... audiometry, speech audiometry, auditory brainstem response (ABR), and impedance audi- ometry with particular attention paid to stapedial ...or speech audiometry outcomes as prognostic ... See full document
11
The Effective Power of Music in Africa
... African music is that it is never devoid of any values; it extols, exonerates or justifies some good qualities, condemn or blame the ...African music Asigbo (2012: p. 690) maintains that “to the African ... See full document
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IMAGE DUPLICATION AND ROTATION DETECTION METHODS FOR STORAGE UTILIZATION
... of speech signal can has an effect on the entire masking, which is known as temporal integration ...mapping speech sounds onto meaning [63]. It is well known that speech has active/non-active ... See full document
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Acoustical Pre Processing for Robust Speech Recognition
... ACOUSTICAL PRE PROCESSING FOR ROBUST SPEECH RECOGNITION ACOUSTICAL PRE PROCESSING FOR ROBUST SPEECH RECOGNITION Richard M Stern and Alejandro Acero 1 School of Computer Science Carnegie Mellon Univers[.] ... See full document
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A novel noise robust speaker identification system
... Speaker recognition is the process of automatically recognizing who is speaking by using the speaker specific information included in speech waves to verify identities being claimed by people accessing systems. By ... See full document
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Discrimination learning with rhythmic and nonrhythmic background music.
... Schoenberg music was perhap s too complex f o r a tta c h m e n t b e h a v io r (re c o g n iz in g ) to o c c u r ...Schoenberg music was c o n s id e re d n o n rh y th m ic a l, p e rhaps i t la ck e d ... See full document
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Recent Progress in Robust Vocabulary Independent Speech Recognition
... Recent Progress in Robust Vocabulary Independent Speech Recognition Recent Progress in Robust Vocabulary Independent Speech Recognition Hsiao Wuen Hon and Kai Fu Lee School o f Computer Science Carneg[.] ... See full document
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A Novel Approach for Software Requirement Specification
... of speech that has been degraded by noise [5], [6], [14]. The goal of speech enhancement varies according to the needs of specific applications, such as to increase the overall speech quality or ... See full document
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