11/6/2023 0 Comments Google speech to textThese voices build on Google’s created PnG NAT technology, which we use to power our Custom Voice offering. Text-to-Speech Neural2Īt Google Cloud Next ‘22, we announced the availability of our next generation of TTS voices, Neural2. Thanks to both the integration of cutting-edge language modeling approaches and an updated and expanded training data set, Content Classification supports over 1,000 labels and 11 languages: Chinese, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Dutch. ![]() In the fall, we updated the NL API with a new model for Content Classification based on Google’s groundbreaking research on LLMs, which includes projects like LaMDA, PaLM and T5. Large language models (LLMs) for the Natural Language (NL) API In December, we added the latest models for more languages including Bulgarian, Swedish, Romanian, Tamil, Bengali and more, bringing the total languages for latest models to over 45. The result is significantly improved accuracy across dozens of the languages and dialects that the STT API supports. In April, we launched our newest models for the STT API, based on a new approach that uses a single neural network - as opposed to separate models for acoustic, pronunciation, and language training - and combines a transformer model with convolution layers. Customers simply submit audio recordings directly in the TTS API, which includes guidance to ensure high-quality models are created. ![]() Custom Voice lets customers train voice models with their own audio recordings, so they can offer users unique experiences. In March, we announced the general availability of Custom Voice in our TTS API, which lets customers create natural, human-like speech from text. Support for custom voices in the Text-to-Speech (TTS) API Presidential inauguration speeches in history over 1 million times. We celebrated the fifth anniversary of this API in April, noting that the API processes over 1 billion spoken minutes of speech each month, enough to transcribe all U.S. The STT API lets developers convert speech into text by harnessing Google’s years of research in automatic speech recognition and transcription technology-and with the visual interface, the API is that much more intuitive, helping more developers to more easily tap this technology for their projects. ![]() In February, we announced a visual user interface for our STT API, which supports over 70 languages in 120 different local variants. To make sure you head into 2023 with all the latest news, below are some of our most noteworthy Speech AI announcements from the last year: Visual interface for the Speech-to-Text (STT) API We expect speech AI technologies and related advancements to significantly impact business and the world in coming years, as Andrew Moore, Google Cloud’s General Manager for Cloud AI & Industry Solutions has explored. Almost anywhere you looked, AI-based speech technologies continued to blossom in 2022, from increased interest measured in Google Trends, to surprising medical advances that suggest speech patterns can help detect some illnesses, to the variety of digital services and devices that users control with their voices.Īt Google Cloud, we spent 2022 making the best of Google’s speech AI and natural language technologies available to our customers, who are leveraging these technologies for use cases that range from robots that can help foster healthy childhood development, to customer service improvements based on data from phone calls, voicemails, and other speech interactions.
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