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India's increased economic intellectual resources and encouraging government policies attracted large global industries to invest and establish their R&D activities in India. Strategic initiatives by MNC (Multinational Corporation) to penetrate large Indian middle income consumer market through Economies of Scale require localized product updates and compliance to government regulations. MNC's...
Automatic acoustic scene classification of real life, complex and unstructured acoustic scenes is a challenging task as the number of acoustic sources present in the audio stream are unknown and overlapping in time. In this work, we present a novel approach to classification such unstructured acoustic scenes. Motivated by the bottom-up attention model of the human auditory system, salient events of...
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predicting the ambient context surrounding an agent, both human and machine. Our method extends the online adaptive Gaussian Mixture model technique to model variations in the background audio. We propose a method for learning...
Children need to master reading letter-names and letter-sounds before reading phrases and sentences. Pronunciation assessment of letter-names and letter-sounds read aloud is an important component of preliterate children's education, and automating this process can have several advantages. The goal of this work was to automatically verify letter-names spoken by kindergarteners and first graders in...
A robust algorithm to model the harmony structure of a music piece is proposed. The harmony structure is extracted directly from a music audio signal using a second-order statistic of chroma feature vectors. The method is experimentally shown to be robust against the degradation of chroma feature vectors due to noisy pitch estimation in our classical music opus identification evaluation. To analyze...
Computer simulated avatars and humanoid robots have an increasingly prominent place in today's world. Acceptance of these synthetic characters depends on their ability to properly and recognizably convey basic emotion states to a user population. This study presents an analysis of the interaction between emotional audio (human voice) and video (simple animation) cues. The emotional relevance of the...
A new chroma-based dynamic feature vector is proposed inspired by psychophysical observations that the human auditory system detects reltative pitch changes rather than absolute pitch values. The proposed chroma-based dynamic feature vector describes the relative pitch change intervals. The utility of the proposed feature vector incorporated with a music fingerprint extraction algorithm is experimentally...
An algorithm for extracting music fingerprints directly from an audio signal is proposed in this paper. The proposed music fingerprint aims to encapsulate various aspects of musical information, such as overall note distribution, harmony structure, and their temporal changes, all in a compact representation. The utility of the proposed music fingerprint to the task of automatic classical music cover...
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