Post by account_disabled on Mar 11, 2024 3:34:38 GMT -5
Google recently released new, more performing and precise speech recognition models. A journey of approximately eight years of research and development that leads to virtual assistants and devices that will allow increasingly better user experiences in dialogue with brands. Alessio Pomaro Alessio Pomaro 28 apr 2022 • 5 min read Voice Recognition: Google enhances AI models to improve accuracy Voice Recognition: Google enhances AI models to improve accuracy I have spoken several times, including in this blog, about multimodal interfaces , which allow you to communicate through multiple channels, for example voice, text, the visual component and multimedia elements.
The vocal component has evolved significantly in recent years, and is, without a India Mobile Number Data doubt, part of the future of interaction between man and machine . Based on this, many companies could seek to improve their technology by presenting reliable and accurate speech recognition systems to consumers . The better the voice recognition , in fact, the more the processes will be simplified for users, who will be able to express themselves as they do with friends or other people with whom they communicate. We now use Whatsapp almost exclusively for voice messages! This opens the way to many use cases, such as virtual assistants found in smart devices . Furthermore, in addition to providing instructions to machines, speech recognition allows, for example, systems that generate real-time subtitles in video calls, insights from live and recorded conversations, and much more.
Google's Speech-to-Text (STT) API now processes more than 1 billion minutes of audio per month. This is equivalent to transcribing Hamlet (Shakespeare's longest play) almost 4.6 million times. Google, in recent days, announced the launch into production of the new models for the STT API : an important technological improvement for 23 languages available in the system. The new models are more precise and effective The new models are the result of a journey that lasted approximately eight years which required abundant doses of research, implementation and optimization, with the aim of offering very high quality even in difficult conditions (e.g. in noisy environments ).
The vocal component has evolved significantly in recent years, and is, without a India Mobile Number Data doubt, part of the future of interaction between man and machine . Based on this, many companies could seek to improve their technology by presenting reliable and accurate speech recognition systems to consumers . The better the voice recognition , in fact, the more the processes will be simplified for users, who will be able to express themselves as they do with friends or other people with whom they communicate. We now use Whatsapp almost exclusively for voice messages! This opens the way to many use cases, such as virtual assistants found in smart devices . Furthermore, in addition to providing instructions to machines, speech recognition allows, for example, systems that generate real-time subtitles in video calls, insights from live and recorded conversations, and much more.
Google's Speech-to-Text (STT) API now processes more than 1 billion minutes of audio per month. This is equivalent to transcribing Hamlet (Shakespeare's longest play) almost 4.6 million times. Google, in recent days, announced the launch into production of the new models for the STT API : an important technological improvement for 23 languages available in the system. The new models are more precise and effective The new models are the result of a journey that lasted approximately eight years which required abundant doses of research, implementation and optimization, with the aim of offering very high quality even in difficult conditions (e.g. in noisy environments ).
