A quick guide to Amazon’s 40-plus papers on ICASSP

A quick guide to Amazon's 40-plus papers on ICASSP

As usual at the International Conference on Acoustics, Speech and Signal Treatment (ICASSP), a plurality of Amazon’s accepted papers concentrates on automatic speech recognition – this year, a special emphasis on personal speech recognition. The subjects for detection of acoustic event, keyword spotlight and signal processing are also well represented. But are also usual, some … Read more

FEDERATED LEARNING WITH DEPARTMENT SUPPLY FOR CONTRAVING FOR NECKNIVING

FEDERATED LEARNING WITH DEPARTMENT SUPPLY FOR CONTRAVING FOR NECKNIVING

Automatic-Tale Recognition Models (ASR) that transcribe spoken utterances is a key component of voice assistants. They are increasingly implemented on devices on the edge of the Internet where they enable quick resorts (as they do not need cloud treatment) and continued service, even during connection breaks. But ASR models need regular update as new words … Read more

More inclusive speech recognition with cross -scoring across

More inclusive speech recognition with cross -scoring across

Automatic-Tale Recognition Models (ASR), which converts speech to text in voice agents, typically have two phases. The first phase involves a deeply neural network that maps acoustic information representing an utterance to several hypotheses about the spoken words. The second internship is a language model that evaluates (rescores) the plausibility of these hypothetized word sequences. … Read more

The science behind the enhanced four TV voice search

The science behind the enhanced four TV voice search

Put your hand up if you enjoy using your TV remote to write the name of the show you want to watch next. Who doesn’t love to mix the highlighted box across the screen and carefully select each letter in turn? And let’s not forget the joy of accidentally choosing a wrong letter. Such a … Read more

How Dynamic Lookahead improves speech recognition

How Dynamic Lookahead improves speech recognition

Automatic Speech Recognition (ASR) models that convert speech into text come in two varieties, causal and non -alausal. A causal model treats speech when it comes in; To determine the correct interpretation of the current frame (discreet chunk) of sound, it can only use the frames that preceded it. A non -causal model waits until … Read more

INTERSPEECH: Where speech recognition and synthesis converge

INTERSPEECH: Where speech recognition and synthesis converge

As the start of this year’s Interspeesch is approaching, “Generative AI” has become a guard word in both the machine learning community and the popular press, where it generally refers to models that synthesize text or images. TTS) Models (TTS-to-Tale), which is an important research area at Interspeech, has in some sense always been “generative”. … Read more

A quick guide to Amazon’s 20+ papers on ICASSP 2024

A quick guide to Amazon's 20+ papers on ICASSP 2024

The International Conference on Acoustics, Speech and Signal Treatment (ICASSP 2024) takes place on April 14 to 19 in Seoul, South Korea. Amazon is a bronze sponsor of “the world’s great and most comprehensive technical conference focusing on signal processing and its applications.” Amazon’s presence included a workshop (reliable speech treatment), two organizers are researchers … Read more