Fun-ASR: The Ultimate Guide to a High-Precision, Multilingual Speech Recognition Model Snippet Fun-ASR is an end-to-end speech recognition model trained on tens of millions of hours of data, achieving 93% accuracy in noisy environments. It supports 31 languages, 7 major Chinese dialects, and 26 regional accents, making it ideal for applications in education, finance, and more. Introduction In an era where voice interaction is becoming ubiquitous, the demand for robust, accurate, and versatile speech recognition technology has never been higher. Whether you’re developing a real-time transcription service for a multinational conference, creating a voice-activated system for a noisy factory floor, …
In today’s digital landscape, audio and video content creation has exploded across platforms. From corporate meetings and university lectures to podcasts and webinars, the volume of audio content continues to grow exponentially. With this growth comes an increasing need for accurate transcription services that can convert spoken words into text. However, many automatic speech recognition (ASR) services impose strict limitations on audio length and file size, creating significant challenges for users dealing with longer recordings. Qwen3-ASR-Toolkit emerges as a powerful solution designed specifically to overcome these constraints, offering an efficient and flexible approach to long audio transcription. Understanding the Audio …
1. Six questions engineers always ask first Question Quick answer 1. What is FunAudio-ASR? A production-first speech-to-text engine that couples a 0.7 B audio encoder with a 7 B LLM, then tunes the stack with reinforcement learning. 2. How is it better than Whisper? On real-world data collected after June-30 the average WER drops ≈ 20–30 % relative. It also streams at ≈ 200 ms and lets you inject domain hot-words on the fly. 3. Can I ship it today? Yes. The repo ships a Docker image, a Gradio demo, and a documented HTTP API. No license fee is mentioned …