28 releases
0.4.5 | Aug 14, 2019 |
---|---|
0.4.4 | Aug 7, 2019 |
0.4.3 | Jun 25, 2019 |
0.3.24 | Jun 12, 2019 |
0.3.11 | Mar 15, 2019 |
#668 in Asynchronous
63 downloads per month
270KB
2.5K
SLoC
luis_sys
Rust FFI bindings for Microsoft LUIS API.
A rust style wrapper for Microsoft LUIS C/C++ SDK.
Usage
Add luis_sys to the dependencies section in your project's Cargo.toml
, with
[dependencies]
luis_sys = "^0.3.8"
Note: The crate includes Cognitive Services Speech SDK Linux Version 1.3.1. Windows version is not tested.
Example
Create entry main function with crates of luis_sys, logger and futures.
use env_logger;
use futures::{Future, Stream};
use log::{error, info};
use luis_sys::{builder::RecognizerConfig, events::Flags, Result};
use std::env;
use tokio;
fn main() {
env::set_var("RUST_BACKTRACE", "1");
env::set_var("RUST_LOG", "debug");
env_logger::init();
info!("Start ASR test...");
recognize_test().unwrap();
info!("Stop ASR test...");
}
Construct a builder by subscription info with configurations. The audio input is a wav file in example
folder.
let mut factory = RecognizerConfig::from_subscription(
"YourLanguageUnderstandingSubscriptionKey",
"YourLanguageUnderstandingServiceRegion",
)?;
// Choose the events to subscribe.
let flags = Flags::Recognition
| Flags::SpeechDetection
| Flags::Session
| Flags::Connection
| Flags::Canceled;
// Add intents if you want a intent recognizer. They are phrases or intents names of a pre-trained language understanding model.
let intents = vec![
"否定".to_string(),
"肯定".to_string(),
"中秋快乐祝你们平安无事快乐健康的生活".to_string(),
"祝福".to_string(),
];
factory
.set_flags(flags)
.set_audio_file_path("examples/chinese_test.wav")
.set_model_id("YourLanguageUnderstandingAppId")
.set_intents(intents)
.put_language("TheLanguageOfAudioInput")?;
.put_detailed_result(true)?;
factory.recognizer()
build a speech recognition only recognizer.
factory.intent_recognizer()
build a speech intent recognizer.
Starts blocked intent recognition, and returns after a single utterance. The end of a single utterance is determined by listening for silence at the end or until a maximum of 15 seconds of audio is processed.
fn recognize_once(factory: &RecognizerConfig) -> Result {
info!("Synchronous ASR ");
let recognizer = factory.recognizer()?;
let result = recognizer.recognize()?;
info!("done: {}", result);
Ok(())
}
Asynchronous intent recognition in tokio runtime.
fn recognize_stream(factory: &RecognizerConfig) -> Result {
info!("Asynchronous ASR, streaming Event object");
let mut reco = factory.intent_recognizer()?;
let promise = reco
.start()?
// Add event filter to choice events you care.
.set_filter(Flags::Recognized | Flags::SpeechDetection)
.for_each(|msg| {
info!("result: {:?}", msg.into_result());
Ok(())
});
tokio::run(promise);
Ok(())
}
Translate and synthesis audio.
factory
// Add one or many target languages to tranlate from speech.
.add_target_language("en")?
// Enable audio synthesis output.
.put_translation_features("textToSpeech")?
// Select voice name appropriate for the target language.
.put_voice_name("Microsoft Server Speech Text to Speech Voice (en-US, JessaRUS)")?;
info!("Asynchronous translation and audio synthesis");
let mut reco = factory.translator()?;
let promise = reco
.start()?
.set_filter(Flags::Recognized | Flags::Synthesis)
.for_each(|evt| {
// Handle the translation or synthesis result.
Ok(())
})
.map_err(|err| error!("{}", err));
tokio::run(promise);
EventStream
returned by Recognizer::start
is implemented futures::Stream
for asynchronous operation. And it can be refined by set_filter
, resulting
, json
and text
to pump different format results. And you can do that and more by Future/Stream combinations.
Versions
See the change log.
Notice
-
The crate is working in progress, carefully if apply in production.
-
Only speech SDK of LUIS service has C/C++ version. So current version supports very few feature of LUIS while LUIS SDK is in fast evolution phase.
-
Windows version SDK is not tested.
-
Linux version SDK only support Ubuntu distribution currently.
-
Please read the prerequisites at first.
Dependencies
~3–14MB
~178K SLoC