Qwen3-ASR-1.7B is an automatic speech recognition model from the Qwen3 family. It processes audio inputs and generates text transcriptions with support for multiple languages. The model uses a specialized tokenizer for audio tokens and is designed to be efficient while delivering high accuracy for real-world speech recognition tasks.
Qwen3 ASR 1.7B sits in PulseGate's Voice, TTS & speech category. It focuses on converting spoken audio into accurate text transcripts using a compact, high-performance model. Qwen3 ASR 1.7B is an open-source project aimed at developers building speech-to-text applications. The project is open source (BSD-3-Clause). It runs on the web, the command line, and API.
Qwen builds and maintains Qwen3 ASR 1.7B, and the product first shipped in 2022. The project is developed in the open on GitHub with 24.5k stars and 83 commits in the last 90 days. PulseGate's similarity index places it among 11 comparable tools. Among its 3 catalogued features are Automatic Speech Recognition, Audio Processing, and Multilingual Support.
Latest indexed changes and source events
Qwen/Qwen3-ASR-1.7B verified by the PulseGate indexer
Other apps tracked under the same category.
