Areas of Expertise: Artificial Intelligence
Lakshmi has 16 years of professional experience in AI and ML, with numerous publications and prestigious awards. She had EU funded projects and personal innovation project funding.
Coming from an industrial background, Lakshmi has been focussing her research on Machine Learning and Artificial Intelligence mainly in domain of Speech and Audio processing and statistical modelling. She has more than 16 years of applied and academic research experience in Machine Learning and Signal Processing internationally in different prestigious organizations.
Lakshmi has to her credit numerous reputed journal and conference publications. She is closely involved and official reviewer of IEEE/Eurasip journals, major conferences and workshops in her domain. Google Anitaborg award, Hasler Innovation project funding (worth 150,000 CHF) for her own start-up initiative, VentureKick Award, and the Ark Grant represents a sample of the awards she has received, as well as EU (Eureka, Hasler and FP7) funding for her doctoral and post-doctoral research.
She has international work experience in domains ranging from Healthcare, Mobile Technologies, and Entertainment to IoT. Being a certified scrum master, she has proficiency in the complete software engineering life cycle, including software processes and practices and has served in different roles ranging from Software Developer to Project Manager delivering business value to stakeholders.
English, Malayalam, Hindi, Tamil, French (Basic).
Advanced Machine Learning
Introduction to Data Science and Programming
Python and Data Analysis
Computer Modelling and Simulations
Applications of Machine Learning
Neural Computing and Deep Learning
Saheer, L., Yamagishi, J. Garner, P. N., Dines, J., 2014. Combining vocal tract length normalization with hierarchial linear transformations. IEEE Journal of Selected Topics in Signal Processing, 8(2), Special Issue on Statistical Parametric Speech Synthesis, pp. 262-272.
Saheer, L., Dines, J., Garner, P. N., 2012. Vocal tract length normalization for statistical parametric speech synthesis. IEEE Transactions on Audio, Speech and Language Processing, 20:7.
Dines, J., Liang, H., Saheer, L., et al, 2013. Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis. Computer Speech & Language Processing, 27(2), Special Issue on Speech-to-Speech Translation, pp. 428–437.
Bourlard, H., Dines, J., Magimai-Doss, M., Garner, P. N., Imseng, D., Motlicek, P., Liang, H., Saheer, L., Valente, F., 2011. Current trends in multilingual speech processing. SADHANA, 36(5), pp. 885–915.
Sarada, G. L., Saheer, L., Nagarajan, T., Murthy, H. A., 2009. Automatic transcription of continuous speech into syllable-like units for Indian languages. Proc. of SADHANA, Journal on Academy proceedings, 34, pp. 221–233.
Lakshmi Saheer, Xingyu Na, and Milos Cernak. Syllabic Pitch Tuning for Neutral-to-Emotional Voice Conversion, Idiap Research Report, 2015.
Lakshmi Saheer and Milos Cernak. Automatic Staging of Audio with Emotions, in proceedings of IEEE International conference on Affective Computing and Intelligent Interaction, Geneva, 2013.
Lakshmi Saheer and Blaise Potard. Understanding factors in emotion perception. In Proceedings of 8th ISCA Speech Synthesis Workshop, pages 59–64, Barcelona, Spain, 2013.
Lakshmi Saheer, Junichi Yamagishi, John Dines, and Philip N. Garner. Combining vocal tract length normalization with hierarchial linear transformations, in proceedings of ICASSP, Kyoto, 2012.
Lakshmi Saheer, John Dines, Philip N. Garner, and Hui Liang, Implementation of VTLN for statistical speech synthesis, in proceedings of 7th ISCA Speech Synthesis Workshop, Kyoto, 2010.