Linda Bakkouche
Dr Linda Bakkouche
Speech science · AI · Language learning

Dr Linda Bakkouche

Research Associate, University of Cambridge

How people learn, perceive and interact with speech, from second-language pronunciation to AI-generated voices.

AI voices & speech synthesis Second-language speech EEG & frequency-following responses Acoustic phonetics Data science
About

Why do some people learn new speech sounds more easily than others?

I combine speech science, cognitive psychology, artificial intelligence and data science to find out, and to understand how listeners respond to synthetic voices.

ExperimentsPerception and production studies
AcousticsMeasuring the speech signal
EEGHow the brain encodes speech
Machine learningPredicting learning outcomes
Research

Research themes

AI voices

Voice cloning, text-to-speech, naturalness and speaker similarity.

Second-language speech

Perception, production and phonetic training in a new language.

Individual differences

How auditory processing, memory and experience predict learning success.

EEG & FFR

Neural encoding of speech and its link to perception and learning.

Acoustic phonetics

Formant dynamics, voice onset time, prosody and speech timing.

Data science

Mixed-effects models, machine learning and reproducible workflows.

Projects

Current projects

AI & language learning

SoundCoach

Exploring how AI-supported pronunciation training can adapt to each learner, moving beyond one-size-fits-all feedback.

AI voice technology

ProsodAI

How native and second-language listeners perceive AI-generated speech, and which acoustic cues make it sound human.

Explore ProsodAI →

Neural speech learning

EEG & frequency-following responses

Linking the brain's encoding of speech sounds with perception, production and learning in a second language.

Publications

Selected publications

2026
What determines the success of AI voice-cloned speech? Prosodic and acoustic evidence on three TTS systems
Phonetica
Article →
2025
Finding the Human Voice in AI: Insights on the Perception of AI Voice Clones from Naturalness and Similarity Ratings
Interspeech 2025
PDF →
2025
Effects of auditory processing, memory, and experience on early and later stages of second language speech learning
Second Language Research
Article →
2025
Influence of Proficiency and L2 Experience on Dynamic Spectral Cue Utilization in L2 Vowel Perception and Production
Interspeech 2025
PDF →
2024
Mastering Voice Onset Time in L2 Learning: The Role of Cognition, Perception, and Experience
Cambridge Open Engage
Open access →

Full list on Google Scholar and ORCID.

Research tools

Try the tasks

Browser-based tasks I use to measure abilities that contribute to speech and language learning.

Serial Reaction Time Task

A measure of procedural and implicit learning: respond to boxes on screen as quickly as you can while a hidden sequence repeats.

Selected references

Nissen, M. J., & Bullemer, P. (1987). Attentional requirements of learning: Evidence from performance measures. Cognitive Psychology, 19(1), 1–32.

Reed, J., & Johnson, P. (1994). Assessing implicit learning with indirect tests: Determining what is learned about sequence structure. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(3), 585–594.

Abrahamse, E. L., & Verwey, W. B. (2008). Context dependent learning in the serial reaction time task. Psychological Research, 72(4), 397–404.

Granena, G. (2013). Cognitive aptitudes for second language learning and the role of implicit learning abilities.

Hamrick, P. (2015). Declarative and procedural memory abilities as individual differences in second language acquisition.

Phoneme Deletion Task

A measure of phonological awareness: listen to a word and remove one sound from its beginning, middle or end.

Teaching

Teaching & supervision

I teach phonetics, phonology, applied linguistics and research methods, and supervise dissertation projects in experimental design, acoustic phonetics, second-language acquisition and speech technology.

Programming

PythonRMATLABC++SQLJavaScriptDocker

Machine learning

PyTorchscikit-learnLightGBMSHAPMixed-effects models

Speech processing

PraatParselmouthopenSMILEMontreal Forced AlignerWhisper

Web application design

Web application designHTMLCSSPHPBrowser-based experiments
Contact

Let's work together

I welcome enquiries about collaboration, invited talks and supervision. My contact details are on my Cambridge Phonetics Laboratory page.