Are there any open source models for this?
Are there any open source models for this?

Yes, there are open-source models for speech recognition available. Here are a few examples:

1. TensorFlow Speech Recognition: TensorFlow, developed by Google, offers a Speech Recognition API that can transcribe speech to text. It's based on the Deep Speech model, which is an open-source implementation of Baidu's Deep Speech technology.

2. Kaldi: Kaldi is a C++ open-source speech recognition toolkit created by Dan Povey at the University of Edinburgh. It's used by many researchers and industry professionals for building large-vocabulary speech recognition systems.

3. ESPnet: ESPnet (End-to-End Speech Recognition Toolkit) is a toolkit for building end-to-end automatic speech recognition systems. It's developed by NTT and is based on the Transformer architecture.

4. Wav2Letter++: Wav2Letter++ is an open-source end-to-end speech recognition system that uses a Connectionist Temporal Classification (CTC) loss function and the Conformer architecture.

5. RWTH-SpeechRecognition: RWTH-SpeechRecognition is an open-source toolbox for speech recognition based on the Deep Speech architecture. It's developed by RWTH Aachen University.
Yes, there are open source models for this. For example, the Google Cloud Natural Language model, the Stanford CoreNLP model, and the OpenNMT model.