Dr Lakshmi Babu Saheer

Senior Lecturer

Faculty:Faculty of Science and Engineering

School:Computing and Information Science

Location: Cambridge

Areas of Expertise: Artificial Intelligence

Research Supervision:Yes

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.

Connect with Lakshmi on LinkedIn


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.

Spoken Languages

  • English
  • Malayalam
  • Hindi
  • Tamil
  • French (basic)

Research interests

  • Artificial intelligence and machine learning
  • Audio processing and environmental sounds recognition
  • Internet of Things (IoT) based systems
  • Python and data analysis
  • Natural language processing
  • AI in biomedical and environmental sciences
  • Speech technologies including speech synthesis, speech recognition, speaker adaptation, voice transformation
  • Affective computing and emotion processing
  • Project Management mainly agile and lean ways of working
  • Signal processing and pattern recognition/classification

Areas of research supervision

  • Artificial intelligence and machine learning
  • Python and data analysis


  • 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


  • PhD in Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) & Idiap Research Institute, Switzerland
  • M.S in Computer Science, Indian Institute of Technology Madras, India
  • B.Tech in Computer Science, Cochin University of Science & Technology, India

Memberships, editorial boards

  • IEEE and IEEE SPS membership since 2008
  • Member of the Google Women Techmakers.

Research grants, consultancy, knowledge exchange

  • Hasler Innovation Project Funding (150,000 CHF)
  • Venturekick (10K CHF) and The Ark Grant (10K CHF)
  • Google Anitaborg Scholarship (10K Euros) recipient 2011

Selected recent publications

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.

Recent presentations and conferences

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.

Media experience

Several press articles in the Swiss media covering her start-up initiatives including Bilan Top 50 Start-up, Venture Business Plan Top25, STARTUP.ch runners up, IMD Start-up Competition Award, ICC 2012 Prizes.