WhisperFusionWhat is WhisperFusion?
It builds upon the capabilities of the WhisperLive and WhisperSpeech by integrating Mistral, a Large Language Model (LLM), on top of the real-time speech-to-text pipeline. Both LLM and Whisper are optimized to run efficiently as TensorRT engines, maximizing performance and real-time processing capabilities.
WhisperFusion is a tool in the Voice & Audio Models category of a tech stack.
Key Features
Utilizes OpenAI WhisperLive to convert spoken language into text in real-timeLarge Language Model IntegrationTensorRT optimization
WhisperFusion Pros & Cons
Pros of WhisperFusion
No pros listed yet.
Cons of WhisperFusion
No cons listed yet.
WhisperFusion Alternatives & Comparisons
What are some alternatives to WhisperFusion?
Kaldi
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
Deepspeech
It is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Botium Speech Processing
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
wav2letter++
wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research. It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. Our approach is detailed in this arXiv paper.
