openvino/samples/python/speech_sample/README.md

Automatic Speech Recognition Python Sample

NOTE: This sample is being deprecated and will no longer be maintained after OpenVINO 2023.2 (LTS). The main reason for it is the outdated state of the sample and its extensive usage of GNA, which is not going to be supported by OpenVINO beyond 2023.2.

This sample demonstrates how to do a Synchronous Inference of acoustic model based on Kaldi* neural models and speech feature vectors.

The sample works with Kaldi ARK or Numpy* uncompressed NPZ files, so it does not cover an end-to-end speech recognition scenario (speech to text), requiring additional preprocessing (feature extraction) to get a feature vector from a speech signal, as well as postprocessing (decoding) to produce text from scores.

For more detailed information on how this sample works, check the dedicated article

Requirements

Options	Values
Validated Models	Acoustic model based on Kaldi* neural models (see
	Model Preparation section)
Model Format	OpenVINO™ toolkit Intermediate Representation (.xml + .bin)
Supported devices	See Execution Modes
	section below and List Supported Devices
Other language realization	C++

Automatic Speech Recognition Python sample application demonstrates how to use the following Python API in applications:

Feature	API	Description
Import/Export Model	openvino.runtime.Core.import_model,
	openvino.runtime.CompiledModel.export_model	The GNA plugin supports loading and saving of the GNA-optimized model
Model Operations	openvino.runtime.Model.add_outputs ,
	openvino.runtime.set_batch,
	openvino.runtime.CompiledModel.inputs,
	openvino.runtime.CompiledModel.outputs,
	openvino.runtime.ConstOutput.any_name	Managing of model: configure batch_size, input and output tensors
Synchronous Infer	openvino.runtime.CompiledModel.create_infer_request,
	openvino.runtime.InferRequest.infer	Do synchronous inference
InferRequest Operations	openvino.runtime.InferRequest.get_input_tensor,
	openvino.runtime.InferRequest.model_outputs,
	openvino.runtime.InferRequest.model_inputs,	Get info about model using infer request API
InferRequest Operations	openvino.runtime.InferRequest.query_state,
	openvino.runtime.VariableState.reset	Gets and resets CompiledModel state control
Profiling	openvino.runtime.InferRequest.profiling_info,
	openvino.runtime.ProfilingInfo.real_time	Get infer request profiling info

Basic OpenVINO™ Runtime API is covered by Hello Classification Python* Sample.