![]() ![]() $ python -m grpc_tools.protoc -proto_path=./ -python_out=./ nuance/rpc/error_details.proto $ python -m grpc_tools.protoc -proto_path=./ -python_out=./ nuance/rpc/status_code.proto Generate RPC client stubs $ python -m grpc_tools.protoc -proto_path=./ -python_out=./ nuance/rpc/status.proto $ python -m grpc_tools.protoc -proto_path=./ -python_out=./ nuance/asr/v1/result.proto $ python -m grpc_tools.protoc -proto_path=./ -python_out=./ nuance/asr/v1/resource.proto Generate ASR client stubs from proto files $ python -m grpc_tools.protoc -proto_path=./ -python_out=./ -grpc_python_out=./ nuance/asr/v1/recognizer.proto ![]() When unzipping the training files, ignore the RPC files $ unzip nuance_asr_rpc_protos.zip Install gRPC for programming language $ pip install -upgrade pipĭownload and unzip proto files. You may only reference resources in your Mix project. Learn how to reference DLMs and compiled wordsets in your application, using URN syntax. Learn the URL to call the Krypton ASR service: see Accessing a runtime service. Later you will use these credentials to request an access token to run your application. Generate a "secret" and client ID of your Mix project: see Authorize your client application. You can add more words to these categories using wordsets.Ĭreate and deploy an application configuration for the project. Your entities (for example NAMES and PLACES) should contain words that are specific to your application environment. Since your model is for speech recognition only (not semantic understanding), you can use any intent name, for example DUMMY, and add entities and sentences to that intent. The model must include an intent, optionally entities, and a few annotated sentences. See Quick Reference for a summary of Mix service URLs, resource URNs, authorization, and so on.Ĭreate a Mix project and model: see Mix.nlu workflow to:Ĭreate, train, and build a model in the project. It also lets you create one or more domain language models (domain LMs or DLMs) to improve recognition in your environment. This project provides credentials to run your application against the Nuance-hosted Krypton ASR engine. Prerequisites from Mixīefore developing your gRPC application, you need a Nuance Mix project. It is not available in other geographies.įor ongoing changes, consult the Change log. The Training API is available to Mix users who create resources using and access them using the ASR endpoint. ![]() This release supports version v1 of the Recognizer API and v1beta1 of the Training API (for compiling wordsets). ![]() Krypton supports Protocol Buffers version 3, also known as proto3. GRPC is an open source RPC (remote procedure call) software that uses HTTP/2 for transport and protocol buffers to define the API. An additional gRPC Training protocol allows applications to compile wordsets for use in recognition. The gRPC Recognizer protocol provided by Krypton allows client applications to request speech recognition services in any of the programming languages supported by gRPC. Krypton works with Nuance data packs in many languages, and optionally uses domain language models and wordsets to customize recognition for specific environments. Nuance ASR (Automatic Speech Recognition) as a Service is powered by Krypton, a speech-to-text engine that turns speech into text in real time. Nuance ASR provides real-time speech recognition ![]()
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