Fluent.ai and Knowles Partner on Embedded Voice Recognition for Appliances

Fluent.ai and Knowles developed a reference design for an embedded voice-controlled washing machine using Fluent.ai’s patented speech-to-intent technology, which leverages natural and flexible voice commands to trigger essential appliance actions. The solution combines Fluent.ai’s small footprint embedded voice recognition running on Knowles’ AISonic Audio Edge Processor, enabling reduced BOM costs for manufacturers of smart home white goods.

Speechmatics, a leading British company in deep learning and speech recognition technology, has launched its ‘Autonomous Speech Recognition’ software. Using the latest techniques in deep learning and with the introduction of new breakthrough self-supervised models, Speechmatics claims to outperform Amazon, Apple, Google, and Microsoft in accuracy and ability to understand all voices.

Voice AI developer SoundHound confirmed the integration of its Houndify Voice AI platform into the all-new 2021 Elantra and Elantra Hybrid models from the Korean manufacturer, now available for sale in North America. Hyundai's new Dynamic Voice Recognition System is powered by Houndify's Speech-to-Meaning and Deep Meaning Understanding technologies, providing drivers with voice access to cloud-based information and services hands-free.

Following the announcement in February 2018 of the launch of Global English, a single English language pack supporting all major English accents for use in speech-to-text transcription, speech recognition technology specialists Speechmatics have now announced its Next Generation languages update, which the company says brings an improved accuracy of up to 16% across many of its core languages, thanks to the use of new machine learning algorithms.

Speech recognition technology specialists Speechmatics announced the launch of Global English, a single English language pack supporting all major English accents for use in speech-to-text transcription. According to the company, Global English (GE) was trained on thousands of hours of spoken data from over 40 countries and tens of billions of words drawn from global sources, making it one of the most comprehensive and accurate accent-agnostic transcription solutions on the market.