Abstract: The paper presents a new method based on Wav2Vec2 and Heckling Face Transformers (HFTs) speech-to-text conversion and text summarization in Natural Learning Processes for Chatbot systems.

Creating audio content for your business doesn’t mean you have to invest in expensive production tools or hire voice actors. For businesses with an occasional need for audio, free text-to-speech ...

If old sci-fi shows are anything to go by, we're all using our computers wrong. We're still typing with our fingers, like cave people, instead of talking out loud the way the future was supposed to be ...

Busy clinics and virtual visits don’t exactly make it easy to take notes manually. That’s the tech gap Shunyalabs.ai set out to target with ZeroMed: the AI-driven speech recognition system designed ...

Imagine dictating an entire report, brainstorming ideas, or drafting an email, all without lifting a finger or worrying about your data being sent to the cloud. For Mac users, this isn’t just a dream; ...

This repository implements an end-to-end solution for converting spoken audio files into written text using automated speech recognition (ASR). The project leverages machine learning and deep learning ...

In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...

I am 24 years old and live in Dubai. I run several startups in education, food, and fitness. I enjoy learning languages. I am 24 years old and live in Dubai. I run ...