JotPro’s Post

"GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, and image and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation."

Discover the power of Speech Recognition with PyResearch! Whether you're building voice-activated applications, enhancing accessibility, or exploring new frontiers in AI, our tools and resources have got you covered. Visit https://lnkd.in/dqup_FxS to unlock the potential of voice technology! #SpeechRecognition #AI #PyResearch #Innovation"

Explore advanced image chat and visual dialog systems, enhancing human-computer interaction through intuitive image-based communication

pub.towardsai.net: The content discusses the process of converting spoken language into text through speech recognition. It offers a comprehensive guide on building and implementing speech recognition technology.

Parler TTS: Revolutionizing Text-to-Speech with Open-Source Excellence. Parler TTS, developed by Hugging Face, is a cutting-edge, fully open-source text-to-speech (TTS) tool that delivers high-quality speech synthesis. Designed with versatility and accessibility in mind, Parler TTS is an ideal choice for developers, researchers, and creators who seek to incorporate natural-sounding speech into their projects. It supports multiple languages and voices, ensuring smooth and lifelike outputs. The open-source nature of Parler TTS promotes transparency and collaboration, fostering continuous improvements and innovations in TTS technology. This makes it a standout tool in the AI community, empowering users to customize and enhance their text-to-speech applications. Key Features: - High-Quality Speech Synthesis: Parler TTS offers top-tier audio output, making it ideal for applications that require clear and natural speech. - Multi-Language Support: The tool supports a wide range of languages, providing flexibility for global applications. - Open-Source Flexibility: As an open-source platform, Parler TTS encourages community contributions, allowing users to refine and expand its capabilities. - Easy Integration: With its user-friendly interface, Parler TTS can be seamlessly integrated into various projects, from apps to research tools. Applications Across Industries: Parler TTS is perfect for a variety of uses, including educational tools, content creation, accessibility solutions, and interactive applications. Its adaptability and high performance make it suitable for both small-scale projects and large enterprise applications. Parler TTS by Hugging Face is transforming the text-to-speech landscape with its high-quality, open-source approach. Whether you're a developer or a researcher, Parler TTS offers the tools needed to create innovative and impactful speech-based applications. For more information, visit the official [Parler TTS page]: https://lnkd.in/eaaucCFG. #TextToSpeech #TTS #ParlerTTS #HuggingFace #OpenSource #AI #SpeechSynthesis #TechInnovation

Audio-jacking, a new threat that uses #GenAI to distort live audio transactions. Imagine being able to manipulate a conversation without the speakers realizing it! Read our full article about Audio-Jacking.. https://ibm.biz/BdvCVS

Get an exclusive look at the results of our 2024 State of Automatic Speech Recognition report at ACCESS 🔎 On Day One of ACCESS 2024, 3Play's own Elisa Lewis and Theresa Kettelberger will discuss the findings from our 2024 research study of leading ASR engines! This is the only report of its kind focused on the application of speech recognition technology for captioning versus for other technologies. In this session, you will learn: • How the top ASR engines measured up to the task of captioning and transcription without the intervention of a human editor • The current state of speech technology • If automatic speech recognition (ASR) on its own is sufficient for closed captioning or live captioning • Why we still need humans to achieve accuracy standards for accessibility Register for the State of ASR and other sessions: https://bit.ly/44hZdA7 #Access2024 #ASR #StateOfASR #AutomaticSpeechRecognition #captioning #a11y

LLaMA-Omni is a low-latency speech interaction model that processes and generates text and speech tokens simultaneously, achieving an impressive 226ms latency. This makes real-time voice interaction with open-source LLMs a reality! Definitely excited to try this out—combining voice interaction with open-source models opens up a whole new world of possibilities. So cool! https://lnkd.in/ecSKuSg5

Picture of Mona Lisa🖼️ + Audio of Shakespeare🎙️ = 𝐕𝐢𝐝𝐞𝐨 𝐨𝐟 𝐌𝐨𝐧𝐚 𝐋𝐢𝐬𝐚 𝐑𝐞𝐜𝐢𝐭𝐢𝐧𝐠 𝐒𝐡𝐚𝐤𝐞𝐬𝐩𝐞𝐚𝐫𝐞✅ Input a single reference image📷 and a vocal audio🔉 to create realistic portrait video with: – facial expressions🤨 – various head poses😉 – lip sync💋 – multiple languages synchronization🌏🌐 Interesting project by Institute for Intelligent Computing, Alibaba Group #aiusecases #aigenerated #artificialinteligence #generativeai

Check the new video from Hardware.ai🔊 Run speech transcription with faster-whisper using ReSpeaker and Raspberry Pi 5.