Titlebook: Speech and Language Processing for Human-Machine Communications; Proceedings of CSI 2 S. S. Agrawal,Amita Devi,Poonam Bansal Conference pro

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Speaker-Independent Recognition System for Continuous Hindi Speech Using Probabilistic Model,is is achieved using speech recognition systems which allow the general public to speak to the machine by recognizing their voice. Hindi being the most widely spoken language with approx. 260 million first-language speakers [.] should have a real-time recognition system. The main objective of this p

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A Robust Technique for Handwritten Words Segmentation into Individual Characters,obust segmentation algorithm is proposed in this paper. The word images are segmented into individual characters after skew angle correction and the thinning process, to get the single pixel stroke width. Ligatures of the touching characters are detected by keeping in view the geometrical shape of t

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Toward Machine Translation Linguistic Issues of Indian Sign Language,ak with and by deaf people. Indian sign language is a linguistically under-investigated language. Research on Indian sign language linguistics is also limited because of unavailability of standard sign dictionary and the unavailability of such tools which provide any education for Indian sign langua

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Analysis of Emotion Recognition System for Telugu Using Prosodic and Formant Features,ing has become essential for technological developments in various aspects and this technology is also incorporated in many gadgets. Emotion-based recognition is where the emotion of the person is identified from the differences in stress and other properties of speech. The features such as intensit

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Simple Term Filtering for Location-Based Tweets Classification,an amazing speed. . such as relations, professional work, daily activities, health issues, social issues, food activities. So aligning, reasoning and forecasting the event impact have become the utterly important topics in the related research community. In this way, Twitter platform provides a new

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Security Analysis of Scalable Speech Coders,tive encryption is used with scalable speech coders to provide security of speech data. This paper analyzes the scalable ADPCM coders with selective encryption scheme where only core bits of coded speech are encrypted. The parameters of the coder have been identified by analyzing the selectively enc

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Issues in i-Vector Modeling: An Analysis of Total Variability Space and UBM Size, not commensurate to the additional computations involved. We have studied the effect of size of UBM and the total variability matrix, T, in i-vector modeling on the recognition performance. Results indicate that after T size 50, there is a very small performance improvement. For UBM size, 128 is ob