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Southampton computer scientists named as Fellows of the Alan Turing Institute

Turing Fellows

ECS, University of Southampton 

Four academics from the School of Electronics and Computer Science  have been named Fellows of The Alan Turing Institute as part of a new cohort from the University of Southampton.

Professors Elena Simperl, Mike Wald, Sarvapali Ramchurn and Dr George Konstantinidis will address complex research challenges within the UK’s national institute for data science and artificial intelligence.

The researchers are among 19 leading academics at the University that will now bring to the Institute specific projects covering topics from machine learning for space physics to AI and inclusion.

The Alan Turing Institute was founded in 2015 to undertake world-class research that is applied to real-world problems, drives economic impact and societal good, leads the training of a new generation of scientists and shapes public conversation around data.

Read the full story

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Otter Voice Notes and AI

Otter logo

Otter is available as an app or on desktop as a real time speech recognition service that can recognise different speakers in recorded sessions.  The app creates smart voice notes that combine audio, transcription, speaker identification, inline photos, and key phrases.

It is remarkably accurate even when using a desktop microphone with clear English speakers in a small room.  Useful for note taking and transcribing interviews.   Works on mobiles and tablets with a Premium version offering many more features such as names of speakers when they register and are recognised by recording a little bit of speech. 

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American Sign Language Alphabet Game using AI

alphabet signs

“Players earn points for imitating the 26 letters of the alphabet in American Sign Language (ALS), which convolutional neural networks trained on a collection of more than 100,000 images classify in near-real time.”  Stradigi AI
Carolina Bessega, Stradigi AI’s Chief Scientific Officer says that “The AI system is 99.03 percent accurate at correctly identifying ASL letters, Bessega said. That’s about half a percentage point better than Google’s pretrained Inception V4 managed in the company’s tests (98.50 percent), and nearly two percent better than the popular Xception algorithm (97.37 percent).” Search for:Search

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Microsoft Hearing AI iOS coming soon.

sounds ripples
Hearing AI app

“Hearing AI aims to connect people to the world of sound. The interface allows people to visualize the intensity of environmental sounds in order to gauge the ambience of a physical space. Hearing AI distinguishes between four different types of sound environments and notifies people if there are sudden changes or if sounds are damaging to their ears. In addition, Hearing AI uses real-time speech-to-text technology to transcribe verbal conversations with an emphasis on visualizing the loudness of speech through typography. Key Features:

  • Visualizations: See the activity, volume, and ambience of the sounds around you. What’s the sound level in the environment? Is it loud enough to damage your ears? Hearing AI will let you know.
  • Notifications: Get customizable notifications whenever Hearing AI detects sudden changes and important sounds.
  • Speech-To-Text: Be able to not only read spoken conversation, but see the volume of speech excerpts in real-time.”  Microsoft Garage Team