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ORCIDRathinavelu Chengalvarayan
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2020 – today
- 2023
[c29]Evandro Gouvêa, Ali Dadgar, Shahab Jalalvand, Rathi Chengalvarayan, Badrinath Jayakumar, Ryan Price, Nicholas Ruiz, Jennifer McGovern, Srinivas Bangalore, Benjamin Stern:
TRUSTERA: A Live Conversation Redaction System. ICASSP 2023: 1-5- [i1]Evandro Gouvêa, Ali Dadgar, Shahab Jalalvand, Rathi Chengalvarayan, Badrinath Jayakumar, Ryan Price, Nicholas Ruiz, Jennifer McGovern, Srinivas Bangalore, Benjamin Stern:
Trustera: A Live Conversation Redaction System. CoRR abs/2303.09438 (2023)
2010 – 2019
- 2013
- [c28]Evandro Gouvêa, Antonio Moreno-Daniel, A. Reddy, Rathinavelu Chengalvarayan, David L. Thomson, Andrej Ljolje:
The AT&t speech API: a study on practical challenges for customized speech to text service. INTERSPEECH 2013: 2071-2073 - [c27]Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore, Andrej Ljolje, Rathinavelu Chengalvarayan:
Segmentation Strategies for Streaming Speech Translation. HLT-NAACL 2013: 230-238
2000 – 2009
- 2002
- [j10]David L. Thomson, Rathinavelu Chengalvarayan:
Use of voicing features in HMM-based speech recognition. Speech Commun. 37(3-4): 197-211 (2002) - [c26]Rafid A. Sukkar, Rathi Chengalvarayan, John Jacob:
Unified speech recognition for the landline and wireless environments. ICASSP 2002: 293-296 - [c25]Rathi Chengalvarayan:
Robust HMM training for unified dutch and German speech recognition. INTERSPEECH 2002: 509-512 - [c24]Rathi Chengalvarayan:
Integrating multiple pronunciations during MCE-based acoustic model training for large vocabulary speech recognition. INTERSPEECH 2002: 693-696 - 2001
- [j9]Rathinavelu Chengalvarayan, Li Deng:
A maximum a posteriori approach to speaker adaptation using the trended hidden Markov model. IEEE Trans. Speech Audio Process. 9(5): 549-557 (2001) - [c23]Rathinavelu Chengalvarayan:
On the use of matrix derivatives in integrated design of dynamic feature parameters for speech recognition. ICASSP 2001: 145-148 - [c22]Rathi Chengalvarayan:
Evaluation of front-end features and noise compensation methods for robust Mandarin speech recognition. INTERSPEECH 2001: 897-900 - [c21]Rathinavelu Chengalvarayan:
Accent-independent universal HMM-based speech recognizer for american, australian and british English. INTERSPEECH 2001: 2733-2736 - 2000
- [c20]Rathinavelu Chengalvarayan:
Use of multiple classifiers for speech recognition in wireless CDMA network environments. INTERSPEECH 2000: 382-385 - [c19]Rathinavelu Chengalvarayan:
Look-ahead sequential feature vector normalization for noisy speech recognition. INTERSPEECH 2000: 524-527 - [c18]Rathinavelu Chengalvarayan:
Unified acoustic modeling for continuous speech recognition. INTERSPEECH 2000: 552-555 - [c17]Rathinavelu Chengalvarayan, David L. Thomson:
HMM-based echo and announcement modeling approaches for noise suppression avoiding the problem of false triggers. INTERSPEECH 2000: 754-757 - [c16]Rathinavelu Chengalvarayan, David L. Thomson:
Discriminatively derived HMM-based announcement modeling approach for noise control avoiding the problem of false alarms. INTERSPEECH 2000: 838-841 - [c15]Rathinavelu Chengalvarayan:
Use of linear extrapolation based linear predictive cepstral features (LE-LPCC) for Tamil speech recognition. INTERSPEECH 2000: 903-906 - [c14]Rathinavelu Chengalvarayan:
The use of nonlinear energy transformation for Tamil connected-digit speech recognition. INTERSPEECH 2000: 1121-1124
1990 – 1999
- 1999
- [c13]Rathinavelu Chengalvarayan:
Hierarchical subband linear predictive cepstral (HSLPC) features for HMM-based speech recognition. ICASSP 1999: 409-412 - [c12]Rathinavelu Chengalvarayan:
Robust energy normalization using speech/nonspeech discriminator for German connected digit recognition. EUROSPEECH 1999: 61-64 - 1998
- [j8]Rathinavelu Chengalvarayan:
Improved speech modelling and recognition using a new training algorithm based on outlier-emphasis for non-stationary state HMM. Speech Commun. 26(3): 191-201 (1998) - [j7]Rathinavelu Chengalvarayan:
Speaker adaptation using discriminative linear regression on time-varying mean parameters in trended HMM. IEEE Signal Process. Lett. 5(3): 63-65 (1998) - [j6]Rathinavelu Chengalvarayan:
Linear trajectory models incorporating preprocessing parameters for speech recognition. IEEE Signal Process. Lett. 5(3): 66-68 (1998) - [j5]Rathinavelu Chengalvarayan, Li Deng:
Speech trajectory discrimination using the minimum classification error learning. IEEE Trans. Speech Audio Process. 6(6): 505-515 (1998) - [c11]Rathinavelu Chengalvarayan:
On the use of normalized LPC error towards better large vocabulary speech recognition systems. ICASSP 1998: 17-20 - [c10]David L. Thomson, Rathinavelu Chengalvarayan:
Use of periodicity and jitter as speech recognition features. ICASSP 1998: 21-24 - [c9]Rathinavelu Chengalvarayan:
A comparative study of hybrid modelling techniques for improved telephone speech recognition. ICSLP 1998 - [c8]Rathinavelu Chengalvarayan:
Maximum-likelihood updates of HMM duration parameters for discriminative continuous speech recognition. ICSLP 1998 - 1997
- [j4]Rathinavelu Chengalvarayan, Li Deng:
Use of generalized dynamic feature parameters for speech recognition. IEEE Trans. Speech Audio Process. 5(3): 232-242 (1997) - [j3]Rathinavelu Chengalvarayan, Li Deng:
HMM-based speech recognition using state-dependent, discriminatively derived transforms on mel-warped DFT features. IEEE Trans. Speech Audio Process. 5(3): 243-256 (1997) - [c7]Chengalv Rathinavelu, Li Deng:
Speaker adaptation experiments using nonstationary-state hidden Markov models: a MAP approach. ICASSP 1997: 1415-1418 - [c6]Rathinavelu Chengalvarayan:
Influence of outliers in training the parametric trajectory models for speech recognition. EUROSPEECH 1997: 23-26 - [c5]Rathinavelu Chengalvarayan:
Use of vector-valued dynamic weighting coefficients for speech recognition: maximum likelihood approach. EUROSPEECH 1997: 501-504 - [c4]Rathinavelu Chengalvarayan:
Minimum classification error linear regression (MCELR) for speaker adaptation using HMM with trend functions. EUROSPEECH 1997: 2343-2346 - 1996
- [j2]Li Deng, Chengalv Rathinavelu:
Construction of state-dependent dynamic parameters using the maximum likelihood approach: Applications to speech recognition. Signal Process. 55(2): 149-165 (1996) - [c3]Chengalv Rathinavelu, Li Deng:
HMM-based speech recognition using state-dependent, linear transforms on Mel-warped DFT features. ICASSP 1996: 9-12 - [c2]Rathinavelu Chengalvarayan, Li Deng:
The trended HMM with discriminative training for phonetic classification. ICSLP 1996: 1049-1052 - 1995
- [j1]Li Deng, Rathinavelu Chengalvarayan:
A Markov model containing state-conditioned second-order non-stationarity: application to speech recognition. Comput. Speech Lang. 9(1): 63-86 (1995) - [c1]Rathinavelu Chengalvarayan, Li Deng:
Use of generalized dynamic feature parameters for speech recognition: maximum likelihood and minimum classification error approaches. ICASSP 1995: 373-376
Coauthor Index
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