A quick guide to Amazon’s innovative work at the IEEE Spoken Language Technology Workshop (SLT), which begins next week:Accelerator-aware training for ...
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Modern AI models, such as those that recognize images and speech, are highly data dependent. While some public-domain data sets are available to train such ...
In recent years, automatic speech recognition (ASR) has moved to all-neural models. Connectionist-temporal-classification loss functions are an attractive ...
Human speech conveys the speaker’s sentiment and emotion through both the words that are spoken and the manner in which they are spoken. In speech-based ...
“Alexa, where’s the nearest coffee shop?”In vehicles with Alexa, drivers can pose questions like that — while keeping their eyes on the road and hands on ...
As usual at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), a plurality of Amazon’s accepted papers concentrate on ...
Automatic-speech-recognition (ASR) models, which transcribe spoken utterances, are a key component of voice assistants. They are increasingly being deployed ...
Automatic-speech-recognition (ASR) models, which convert speech to text in voice agents, typically have two stages. The first stage involves a deep neural ...
Put your hand up if you enjoy using your TV remote to type in the name of the show you want to watch next. Who doesn’t love shuffling the highlighted box ...
Automatic speech recognition (ASR) models, which convert speech into text, come in two varieties, causal and noncausal. A causal model processes speech as ...