Catherine Breslin Email & Phone Number

Cambridge, England, United Kingdom

https://www.kingfisherlabs.co.ukAt Kingfisher Labs, I work with clients on different projects, including* Interim Head of ML* Strategic advice to C-Suite & execs about AI directions* Product & roadmap guidance* hiring AI teams* In-house AI training* Coaching

Cambridge, England, United Kingdom

London, England, United Kingdom

Interim Head of Machine Learning

Cambridge, England, United Kingdom

Deeptech Labs is a VC fund, accelerator, and the catalyst for deeptech success. Twice a year, its cohort of startups are embedded in a powerful network of successful entrepreneurs, expert practitioners, leading researchers, and deeptech organisations worldwide. Deeptech Labs is founded by Arm, Cambridge Innovation Capital, Martlet Capital, and the University of Cambridge, forefront institutions at the heart of the Cambridge and global technology ecosystems.

Cambridge, United Kingdom

Advising companies and building high performing voice and language technology for their specific problems. Cobalt aren’t focused on any specific industry, but instead provide technology expertise to companies who operate in a range of domains. For example, our projects have included automatic transcription of legal proceedings, keyword spotting in call-centre audio, natural language interfaces for factory machines, and tools to assess the pronunciation of foreign language learners.

Cambridge, United Kingdom

The Alexa AI team in Cambridge UK invents foundational machine learning technologies to build intelligent conversational interfaces for a multitude of devices, applications, languages, and environments. We work on building the technology that enables automatic speech recognition (ASR) and natural language understanding (NLU) behind Amazon’s Alexa, the cloud-based voice service that powers Echo and other Amazon devices. The team was responsible for bringing Alexa to Amazon FireTV and the Fire tablet, and for expanding Amazon’s voice technology outside of the US. Our research looks at scaling up machine learning systems to new languages and devices, and supporting new features and locales for which we have limited data. We partner closely with science, engineering and product teams in Aachen, Boston and Sunnyvale, working on real customer data to ensure that the technology we develop has real benefit for Amazon’s customers.

Cambridge, United Kingdom

Developing speech and language technology for Amazon Alexa working across speech recognition (acoustic modeling, language modeling, voice activity detection, endpointing) and natural language understanding.

Responsible for the automatic speech recognition component of a system for statistical dialogue management, improving robustness to new conditions and tasks. Also working on voice activity detection, end-of-utterance detection for improved turn-taking, close integration of speech recognition with dialogue management, and neural network language models.http://mi.eng.cam.ac.uk/~cb404/

Research into improving automatic speech recognition, particularly for large vocabulary spontaneous speech from meetings. This included voice activity detection, speaker clustering, adaptation to speakers using prior knowledge and acoustic model training.

Cambridge, United Kingdom

Data preparation, speech data pre-processing

Signal processing, machine learning, computer programming

Doctor Of Philosophy (Phd), Engineering / Automatic Speech Recognition / Artificial Intelligence

"Generation and Combination of Complementary Systems for Automatic Speech Recognition" supervised by Professor Mark Gales

Mphil, Speech, Text And Internet Technology

Meng, Engineering And Computer Science, 1St Class Honours

Certificate In Coaching