Research & Articles

Paving the Product Highway for AI in Healthcare

For some time now, people have been talking about the coming AI technologies that will revolutionize society and leave no line of work unaffected. Yet, so far, disappointingly few applications have actually seen the light of day.

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The Orb: How Design Breathes Life Into AI

Even from outside of the Tom Rossau flagship store, one is mesmerized by the warm light emanating from numerous circular shapes. Clusters of sculptural lamps populate walls and ceilings like flotillas of gently glowing jellyfish, conveying a singular sense of design drawing equally on geometry,...

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Exploiting Nontrivial Connectivity for Automatic Speech Recognition

We tested the effectiveness of three neural network architectures commonly used in image recognition for automatic speech recognition. These architectures: Residual Networks, Highway Networks, and Densely Connected Networks, all use nontrivial connections or skip connections. This allows networks...

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Utilizing Domain Knowledge in End-to-End Audio Processing

We performed an exploratory study into improving end-to-end audio classification models. By introducing the intermediary regression task of approximating mel-spectrograms, we were able to classify raw waveform and mel-spectrogram input with equal accuracy. In future experiments we aim to fine-tune...

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Alexa, why don’t you understand me?

In January 2017, a morning show on San Diego’s CW6 News covered a story on how a little girl from Dallas, Texas, accidentally ordered a $300 doll house and four pounds of sugar cookies by asking the family’s Amazon Alexa if it wanted to play dollhouse. The purpose of the show was to discuss a new...

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Improving Pre-Hospital Care For Language Minorities Using Machine Learning

Pre-hospital emergency care should be of the same quality for all citizens. Similarly, benefits from advances in machine learning should be spread equally across society. Unfortunately, neither is the case. Language barriers, for instance, limit the quality of pre-hospital care given to language...

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CTC Networks and Language Models: Prefix Beam Search Explained

Automatic speech recognition (ASR) is one of the most difficult tasks in natural language processing. Traditionally it has been necessary to break down the process into a series of subtasks such as speech segmentation, acoustic modelling, and language modelling. Each of these subtasks was then...

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Encrypt your Machine Learning

We have a pretty good understanding of the application of machine learning and cryptography as a security concept, but when it comes to combining the two, things become a bit nebulous and we enter fairly untraveled wilderness. While Fully Homomorphic Encryption is nothing new, we have not seen any...

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Corti Technical White Paper

End-to-end neural network based approaches to audio modelling are generally outperformed by models trained on high-level data representations. In this paper we present preliminary work that shows the feasibility of training the first layers of a deep convolutional neural network (CNN) model to learn...

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