Search Results - "Mahadeva, R."
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1
Analysis and modeling of dialect information in Ao, a low resource language
Published in The Journal of the Acoustical Society of America (01-05-2021)“…Ao is a Tibeto-Burman language spoken in Nagaland, India. It is a low resource, tonal language with three lexical tones, namely, high, mid, and low. However,…”
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2
An optimized PSO-ANN model for improved prediction of water treatment desalination plant performance
Published in Water science & technology. Water supply (01-03-2022)“…An accurate prediction of the performance of water treatment desalination plants could directly improve the global socio-economic balance. In this regard, many…”
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3
Overlapped speech detection using phase features
Published in The Journal of the Acoustical Society of America (01-10-2021)“…Simultaneous speech of multiple speakers is known as overlapped speech, which causes problems for speech recognition and speaker diarization systems. The…”
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4
Exploring different attributes of source information for speaker verification with limited test data
Published in The Journal of the Acoustical Society of America (01-07-2016)“…This work explores mel power difference of spectrum in subband, residual mel frequency cepstral coefficient, and discrete cosine transform of the integrated…”
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5
Exploration of excitation source information for shouted and normal speech classification
Published in The Journal of the Acoustical Society of America (01-02-2020)“…Discrimination between shouted and normal speech is an essential prerequisite for many speech processing applications. Existing works have established that…”
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6
Under-resourced dialect identification in Ao using source information
Published in The Journal of the Acoustical Society of America (01-09-2022)“…This paper reports the findings of an automatic dialect identification (DID) task conducted on Ao speech data using source features. Considering that Ao is a…”
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7
Speech/music classification using phase-based and magnitude-based features
Published in Speech communication (01-07-2022)“…Detection of speech and music is an essential preprocessing step for many high-level audio-based applications like speaker diarization and music information…”
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8
Aspiration in fricative and nasal consonants: Properties and detection
Published in The Journal of the Acoustical Society of America (01-07-2019)“…Unlike aspiration in stops, occurrence of aspiration in non-stop consonants is quite rare. Most of the languages that have aspirated non-stop consonants are…”
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9
GMM posterior features for improving online handwriting recognition
Published in Expert systems with applications (01-05-2018)“…•Proposal of GMM posterior (GP) features for online handwriting recognition.•The features include inter-class variability and minimize intra-class…”
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10
Detection and assessment of hypernasality in repaired cleft palate speech using vocal tract and residual features
Published in The Journal of the Acoustical Society of America (01-12-2019)“…The presence of hypernasality in repaired cleft palate (CP) speech is a consequence of velopharyngeal insufficiency. The coupling of the nasal tract with the…”
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11
Exploiting forced alignment of time-reversed data for improving HMM-based handwriting segmentation
Published in Expert systems with applications (01-05-2019)“…•Analysis of online handwriting segmentation boundaries obtained from HMM.•Identification of early boundary problem in the Viterbi forced…”
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12
Handwriting recognition using sinusoidal model parameters
Published in Pattern recognition letters (15-04-2019)“…•Analysis of sinusoidal model parameters for handwriting recognition.•Modeling of acceleration and position information using sinusoidal oscillations.•Proposal…”
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13
Enhancement of cleft palate speech using temporal and spectral processing
Published in Speech communication (01-10-2020)“…•Analysis of hypernasal speech using extended weighted linear prediction method.•Investigate the effect of hypernasality in temporal and spectral…”
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14
Development of Multi-Level Speech based Person Authentication System
Published in Journal of signal processing systems (01-09-2017)“…This work presents the development of a multi-level speech based person authentication system with attendance as an application. The multi-level system…”
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15
Voice source characterization using pitch synchronous discrete cosine transform for speaker identification
Published in The Journal of the Acoustical Society of America (01-06-2015)“…A characterization of the voice source (VS) signal by the pitch synchronous (PS) discrete cosine transform (DCT) is proposed. With the integrated linear…”
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16
Sinusoidal model-based hypernasality detection in cleft palate speech using CVCV sequence
Published in Speech communication (01-11-2020)“…Hypernasality in the speech of children with cleft palate is a consequence of velopharyngeal insufficiency. The spectral analysis of hypernasal speech shows…”
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17
Importance of glottis landmarks for the assessment of cleft lip and palate speech intelligibility
Published in The Journal of the Acoustical Society of America (01-11-2018)“…The present work explores the acoustic characteristics of articulatory deviations near g(lottis) landmarks to derive the correlates of cleft lip and palate…”
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18
Biometrics in extended reality: a review
Published in Discover Artificial Intelligence (01-12-2024)“…In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research has been devoted to harnessing this transformative technology in…”
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19
Stable isotope analysis in environmental impact assessment of radioactivity releases from nuclear power plants
Published in Radiation Protection and Environment (01-07-2021)“…The potential use of stable fission products from the decay of radioactive contaminants in recreating the impact assessment of radioactivity releases from…”
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20
Feature optimisation for stress recognition in speech
Published in Pattern recognition letters (01-12-2016)“…•An evolutionary algorithm for the optimisation of filter banks.•Filter banks more appropriate to stress and emotion classification were obtained.•New speech…”
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