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Cambridge Language Sciences

Interdisciplinary Research Centre
 
Read more at: Recognising and Protecting the Communication Rights of Autistic Children

Recognising and Protecting the Communication Rights of Autistic Children

•Autistic children are at risk of having their communication rights violated. This risk is heightened for autistic children with communication disability, which can emerge from factors inherent autism, co-occurring language disorders and societal barriers. This risk is also unacceptably high for autistic children from minority groups.


Read more at: Literature search protocol for the African Education Research Database

Literature search protocol for the African Education Research Database

This methodological note provides an overview of the ‘Mapping education research in sub-Saharan Africa’ project. It presents the protocols for the literature search, data extraction, and development of the African Education Research Database.


Read more at: Targeted, Multidimensional Approaches to Overcome Inequalities in Secondary Education: Case Study of Camfed in Tanzania

Targeted, Multidimensional Approaches to Overcome Inequalities in Secondary Education: Case Study of Camfed in Tanzania


Read more at: Overcoming Inequalities Within Countries to Achieve Global Convergence in Learning

Overcoming Inequalities Within Countries to Achieve Global Convergence in Learning


Read more at: Technical Report: Testing and operating the QuaeroSys Piezostimulator

Technical Report: Testing and operating the QuaeroSys Piezostimulator

This document outlines the testing carried out on a QuaeroSys
piezostimulator for use with an electro-magnetoencephalography setup, at
the Medical Research Council’s Cognition and Brain Sciences Unit in
mid-2015. The document includes a guide for setting up and running the
stimulator, and the results of tests that were run on it, including
tests of clock speeds; latencies; EMEG compatibility; internal clock
accuracy and memory buffer limits.


Read more at: Token passing: a simple conceptual model for connected speech recognition systems

Token passing: a simple conceptual model for connected speech recognition systems


Read more at: Competitive training: a connectionist approach to the discriminative training of hidden Markov models

Competitive training: a connectionist approach to the discriminative training of hidden Markov models


Read more at: Hidden Markov model performance in noise

Hidden Markov model performance in noise


Read more at: Vector quantization bigram hidden Markov modelling for improved phoneme recognition

Vector quantization bigram hidden Markov modelling for improved phoneme recognition


Read more at: Hidden Markov model state-based noise cancellation

Hidden Markov model state-based noise cancellation


What we do

Cambridge Language Sciences is an Interdisciplinary Research Centre at the University of Cambridge. Our virtual network connects researchers from five schools across the university as well as other world-leading research institutions. Our aim is to strengthen research collaborations and knowledge transfer across disciplines in order to address large-scale multi-disciplinary research challenges relating to language research.

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