Multilingual AI Voice LTP Deepgram Raises USD 130M in Series C

Deepgram, the real-time multilingual voice AI and speech-to-text provider, has raised USD 130 million in a Series C round at a USD 1.3 billion valuation, bringing total funding to over USD 215 million. The investment will fuel expansion of its low-latency language models, support live multilingual experiences like real-time captioning and voice agents, and help grow global infrastructure and language coverage. Deepgram aims to power voice-first applications across regulated industries, customer support, and enterprise workflows. To read the complete blog, click on the link given below.

Read the Complete Blog: https://slator.com/multilingua....pgram-130m-series-c/

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Google Launches MedASR: Open Medical Speech-to-Text AI Model

Google has introduced MedASR, an open medical speech-to-text AI model built to accurately transcribe clinical conversations and healthcare audio. The model aims to improve medical documentation, clinical workflows, and AI-driven healthcare applications. This breakthrough highlights Google’s growing focus on medical AI and speech recognition in healthcare.

Read more: https://slator.com/google-laun....-text-model/

Slator continues to lead the way in covering the latest breakthroughs in AI translation, machine learning, and translation management software. Stay ahead with trusted insights for linguists, tech innovators, and localization pros.

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NVIDIA, Microsoft, ElevenLabs Top New Automatic Speech Recognition Leaderboard "Hugging Face has teamed up with NVIDIA, Mistral AI, and the University of Cambridge to launch the Open ASR Leaderboard, a public benchmark for automatic speech recognition (ASR). Read More :
" target="_blank" class="hash" rel="nofollow noopener noreferrer">https://slator.com/nvidia-micr....aderboard/"

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Top 5 AI Apps for Speech Recognition
Read More: https://bit.ly/4j1JSdT

AI-powered speech recognition apps enhance communication, accessibility, and automation. The top apps include Google Assistant, Apple Siri, Amazon Alexa, Microsoft Cortana, and Hound. These apps leverage deep learning for accurate voice commands, transcription, and real-time responses. They are widely used in virtual assistants, customer support, and smart devices.

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Alibaba Outlines How LLMs Can Improve Speech-to-Text AI Translation

In a January 25, 2025 paper, researchers from Alibaba and Soochow University show how large language models (LLMs) can improve speech-to-text translation. The researchers propose a “joint refinement” approach, leveraging LLMs to simultaneously improve automatic speech recognition (ASR) transcriptions and speech-to-text translations.

https://slator.com/tag/Alibaba/

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