I built ClearHearAI to help hearing impaired and deaf people. It is a transcription app that provides context indicators (e.g. when questions are asked, urgent keywords are detected, conversation is happening). All audio processing happens entirely on your device - your voice never leaves your computer. Conversation transcripts are stored locally on the device.<p>Any feedback welcomed.
Hi HN,I built AIDictation.com, a voice to text app written in Swift. It sends audio to my own backend, runs it through a Whisper-based pipeline, and returns a transcription you can then send straight into an AI chat like ChatGPT or Claude.I’ve been building full‑stack apps for ~20 years, but this is my first Swift application. I leaned heavily on AI coding tools to get from zero Swift to a working app and backend in a couple of weeks.What it doesRecords audio and sends it to my server. The backe
Hey HN,I’ve been working on WizWhisp, a Windows desktop app for running OpenAI’s Whisper locally. I wanted something native, simple, and privacy-friendly. Existing tools are great but didn’t quite fit what I needed, so I built my own.What it does:Drag in audio/video and get transcripts (TXT, SRT, VTT).Runs Whisper 100% offline.Uses CUDA if you have an Nvidia GPU; otherwise falls back to CPU.Handles long recordings.Tech: C# + WinUI3 for UI, whisper.cpp for inference.Business model: Free for
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Machine learning has been on the horizon for a couple of years, but only a few SEO professionals have been paying close attention. Most SEOs opt for tried-and-true on-page and off-page optimization ...
Apple (AAPL) announced John Giannandrea, Apple’s senior vice president for Machine Learning and AI Strategy, is stepping down from his position ...
In what ways is machine learning overrated? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world. Answer by ...
The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of survival predictions, thus, transforming patient outcomes in significant ways. Utilizing these advanced algorithms, healthcare professionals can better navigate the intricacies of decision-making in transplant cases. This integration helps clarify patient data patterns, foresee potential post-operative complications, and customize treatment avenues, ultimately elevating the standards of care provided.<br/><br/>This Research Topic aims to explore how machine learning can continue to advance the success rates of kidney transplants by improving predictive accuracies and personalized treatment designs. It seeks to spotlight the current advancements in ML applications within transplantation, understand the practical and ethical implications of these technologies, and determine how best they can be integrated into routine clinical workflows to benefit patient prognosis.<br/><br/>To gather further insights in this rapidly evolving field, we welcome articles addressing, but not limited to, the following themes:<br/><br/>- The role of machine learning in enhancing organ transplant success rates<br/>- Predictive modeling for kidney transplant outcomes<br/>- Case studies and comparative analyses of AI versus traditional approaches in transplant settings<br/>- Ethical, privacy, and data security considerations in the use of AI in healthcare<br/>- Integration of...
For those who don't know, neural networks are computing systems that are inspired by the biological networks that make up human brains. The networks are often used for deep learning that allows the ...
World leaders are being blamed either for ignoring the data belying the significance of the novel coronavirus, or paying too much attention to it. Perhaps it would help if neural networks made that data more relevant.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output. The advance could enhance safety and efficiency in AI-assisted decision making, with applications ranging from medical diagnosis to autonomous driving.
AI is helping doctors treat patients in American hospitals. But many new doctors say they haven’t been trained in how to use it. Now, Stanford University is mandating AI training for all its medical students.
Sam Udotong, CTO and co-founder of the AI note-taking startup Fireflies, revealed that in the company's early days, their service was simply human-powered, not AI-driven. - VnExpress International
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Verbit, a startup developing an AI-powered transcription platform, today ...
In a large joint project, a total of six research groups from the University of Cologne Cluster of Excellence on Cellular Stress Responses in Age-Associated Diseases (CECAD), the Max Planck Institute for Biology of Aging (MPI) in Cologne and the University of Göttingen have demonstrated the following findings which apply across the animal kingdom: with increasing age, the transcriptional elongation speed of genes increases, whereby the quality of the gene products suffers.
In today’s digital world, audio and video content is everywhere. From lectures and podcasts to webinars and meetings, spoken ...
"He ain't lyin'."
When asked why it was important that she and David appear united amid the feud reports, Millie said in part, “We’ve been doing that for the last 10 years.”
According to the apparent document, Justin was left “completely embarrassed” and “even shed some tears” after Ryan’s alleged confrontation.
"Once you turned 12, men just seemed to feel entitled to comment on your body."