Whistle: Speech to Text in 16.9 MB

Whistle is an open-source speech-to-text library that offers a unique approach to speech recognition, using a 16.9 MB model that is significantly smaller than other popular alternatives like Google's 1.7 GB model. The library is designed for developers who need to integrate speech recognition into their applications, but may not have the resources to support large models. Whistle's approach uses a combination of techniques, including convolutional neural networks and recurrent neural networks, to achieve accurate results with a reduced model size. This makes it an attractive option for developers working with resource-constrained devices or those looking to improve the efficiency of their speech recognition systems.