Training a customer service bot to sound more human
Research
Kim Martineau
Speech
As more of the world moves online, the demand for systems that can understand users and speak to them in natural language is growing exponentially. At IBM Research, we're working on next-generation AI that learns to decipher and replicate the way humans speak.
Our work
Converting several audio streams into one voice makes it easier for AI to learn
ResearchKim MartineauThe pandemic changed the way we understand speech
ResearchRachel OstrandAustin or Boston? Making artificial speech more expressive, natural, and controllable
ResearchSlava Shechtman, Raul Fernandez, and David Haws8 minute readSpeech-to-text AI could help doctors prescribe placebo to ease chronic pain
ResearchSara Berger6 minute readA cognitive in-car companion to help us enjoy the journey
Research4 minute read
Publications
Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
Unraveling Cocaine and Heroin Addiction Patterns: A Robust LLM Approach Using iRISA Elements to Analyze Short and Spontaneous Speech Samples
- Carla Agurto Rios
- Bo Wen
- et al.
- 2025
- ICDH 2025
Beyond the Clinic: Leveraging Speech Acoustics and Phonetics for Cognitive Monitoring in PKU
- 2025
- ICDH 2025
Comprehensive Layer-Wise Analysis of SSL Models for Audio Deepfake Detection
- Yassine Elkheir
- Younes Samih
- et al.
- 2025
- NAACL 2025
Knowledge Distillation Based Training of Unified Conformer CTC Models for Multi-form ASR
- 2025
- ICASSP 2025
A Non-autoregressive Model for Joint STT and TTS
- Vishal Sunder
- Brian Kingsbury
- et al.
- 2025
- ICASSP 2025