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Google at Interspeech 2023

Google Research AI blog

Posted by Catherine Armato, Program Manager, Google This week, the 24th Annual Conference of the International Speech Communication Association (INTERSPEECH 2023) is being held in Dublin, Ireland, representing one of the world’s most extensive conferences on research and technology of spoken language understanding and processing.

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? Announcing our $50M Series C to build superhuman Speech AI models

AssemblyAI

Join Us On Discord 🚀 Expanded AssemblyAI Docs We've published new tutorials that use our  Speech-to-Text API  to build Speech AI Applications. Speech-to-Text with Java : Make use of  AssemblyAI's Java SDK  to build applications with voice data in Java.

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? New Punctuation & Casing Model For Real-Time Transcription

AssemblyAI

Join Us On Discord 🚀 New Punctuation & Casing Model For Real-Time We recently released a significant improvement to our  Punctuation and Truecasing model  for asynchronous transcription.  The approach is based on a joint audio-language pre-training that enhances performance without task-specific fine-tuning. 

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Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe.

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Understanding Generative and Discriminative Models

Chatbots Life

By applying generative models in these areas, researchers and practitioners can unlock new possibilities in various domains, including computer vision, natural language processing, and data analysis. They capture temporal dependencies and are widely used in tasks like language translation and speech recognition.

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A journey from hieroglyphs to chatbots: Understanding NLP over Google’s USM updates

Dataconomy

Google, one of the world’s leading technology companies, has been at the forefront of research and development in these areas, with its latest advancements showing tremendous potential for improving the efficiency and effectiveness of NLP and conversational AI systems.

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AI for Universal Audio Understanding: Qwen-Audio Explained

AssemblyAI

Researchers from Alibaba Group have introduced Qwen-Audio , a groundbreaking large-scale audio-language model that elevates the way AI systems process and reason about a diverse spectrum of audio signals. This article delves into the key findings from this recent research.

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