speech-recognition   337

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GitHub - intel/rtos-drv-intel-s1000
"MCU/RTOS driver for Sue Creek speech and audio processor. This driver implements the APIs to applications and the underlying control mechanisms for managing audio capture, playback, wakeword notification, etc."
The Sue Creek S1000 processor, from Intel, with on-chip speech recognition. Part of the Quark family.
(Not sure what that means tho, is it a trained NN on the chip, or just a lot of fancy vector instructions?)
repo:github  intel  programming  speech-recognition  privacy  surveillance 
yesterday by mechazoidal
CMUSphinx Open Source Speech Recognition
CMUSphinx is an open source speech recognition system for mobile and server applications. Supported languages: C, C++, C#, Python, Ruby, Java, Javascript. Supported platforms: Unix, Windows, IOS, Android, hardware.
voice  transcription  opensource  speech-recognition  speech-to-text  voice-recognition 
12 weeks ago by lucaswilric
Home - Vocalize
"We have leveraged decades of experience from the field of Audiology and created a software suite designed to evaluate the hearing capabilities of AI powered virtual assistants such as Alexa, Siri, Cortana, Bixby and Google Assistant. We apply our protocols across spoken language variables such as volume level, background noise, distance and cadence. This creates a detailed description of the virtual assistant hearing ability."
speech-recognition  voxable  add-to-list 
september 2018 by techpeace
These companies are shrinking the voice recognition 'accent gap' | VentureBeat
y the end of 2018, the Google Assistant will support over 30 languages. Qualcomm has developed on-device models that can recognize words and phrases with 95 percent accuracy. And Microsoft’s call center solution is able to transcribe conversations more accurately than a team of humans.

[Speechmatic's] language pack — dubbed Global English — is the result of thousands of hours of speech data from over 40 countries and “tens of billions” of words. It supports “all major” English accents for speech-to-text transcription, and it’s built on the back of Speechmatic’s Automatic Linguist, an AI-powered framework that learns the linguistic foundations of new languages by drawing on patterns identified in known ones.

Nuance says it employs several methods to ensure its voice recognition models understand equally well speakers of the roughly 80 languages its products support
voice  accents  speech-recognition  speechmatics  nuance 
september 2018 by lavallee

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