Anil Kumar Vuppala
Anil Kumar Vuppala
Dr. Anil Kumar Vuppala has joined as an Associate Professor at IIIT-H. Anil Kumar Vuppula was born on 1st November in 1984 at Nagayalanka in Krishna district, Andhra Pradesh State, India.[1]
Education
Prof Anil Kumar Received B.Tech degree in Electronics & Communication Engineering from the Jawaharlal Nehru Technological University (JNTU), Andhra Pradesh, India, in 2005 and M.Tech degree in Electronics & Communication Engineering from the NIT Kurukshetra, Haryana, India, in 2007, and Ph.D in speech processing from IIT Kharagpur in 2012.[2]
Research & Publications
His research interests are Speech, speaker, language, emotion and pathological speech recognition.
- Novel feature representation using single frequency filtering and nonlinear energy operator for speech emotion recognition in 2022.[3]
- Analytic phase features for dysarthric speech detection and intelligibility assessment in 2020.[4]
- IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019.[5]
- Application of emotion recognition and modification for emotional Telugu speech recognition in 2019.[6]
- An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018.[7]
- IIITH-ILSC Speech Database for Indain Language Identification in 2018.[8]
- Residual neural networks for speech recognition in 2017.[9]
- Significance of neural phonotactic models for large-scale spoken language identification in 2017.[10]
- Improved emotion recognition using GMM-UBMs in 2015.[11]
- Significance of automatic detection of vowel regions for automatic shout detection in continuous speech in 2016.[12]
References
- ↑ "Faculty profile IIITH".
- ↑ "Educational details google".
- ↑ "Novel feature representation using single frequency filtering and nonlinear energy operator for speech emotion recognition".
- ↑ "Analytic phase features for dysarthric speech detection and intelligibility assessment".
- ↑ "IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019".
- ↑ "Application of emotion recognition and modification for emotional Telugu speech recognition".
- ↑ "An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018".
- ↑ "IIITH-ILSC Speech Database for Indain Language Identification".
- ↑ "Residual neural networks for speech recognition".
- ↑ "Significance of neural phonotactic models for large-scale spoken language identification".
- ↑ "Improved emotion recognition using GMM-UBMs".
- ↑ "Significance of automatic detection of vowel regions for automatic shout detection in continuous speech".