This commit is contained in:
Fangjun Kuang
2023-02-24 16:42:46 +08:00
committed by GitHub
parent 9064b3f016
commit c63c4c3389
12 changed files with 491 additions and 0 deletions

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@@ -6,3 +6,7 @@ endif()
if(SHERPA_ONNX_ENABLE_JNI)
add_subdirectory(jni)
endif()
if(SHERPA_ONNX_ENABLE_C_API)
add_subdirectory(c-api)
endif()

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@@ -0,0 +1,10 @@
include_directories(${CMAKE_SOURCE_DIR})
add_library(sherpa-onnx-c-api c-api.cc)
target_link_libraries(sherpa-onnx-c-api sherpa-onnx-core)
install(TARGETS sherpa-onnx-c-api DESTINATION lib)
install(FILES c-api.h
DESTINATION include/sherpa-onnx/c-api
)

126
sherpa-onnx/c-api/c-api.cc Normal file
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// sherpa-onnx/c-api/c-api.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/c-api/c-api.h"
#include <algorithm>
#include <memory>
#include <utility>
#include <vector>
#include "sherpa-onnx/csrc/online-recognizer.h"
struct SherpaOnnxOnlineRecognizer {
sherpa_onnx::OnlineRecognizer *impl;
};
struct SherpaOnnxOnlineStream {
std::unique_ptr<sherpa_onnx::OnlineStream> impl;
explicit SherpaOnnxOnlineStream(std::unique_ptr<sherpa_onnx::OnlineStream> p)
: impl(std::move(p)) {}
};
SherpaOnnxOnlineRecognizer *CreateOnlineRecognizer(
const SherpaOnnxOnlineRecognizerConfig *config) {
sherpa_onnx::OnlineRecognizerConfig recognizer_config;
recognizer_config.feat_config.sampling_rate = config->feat_config.sample_rate;
recognizer_config.feat_config.feature_dim = config->feat_config.feature_dim;
recognizer_config.model_config.encoder_filename =
config->model_config.encoder;
recognizer_config.model_config.decoder_filename =
config->model_config.decoder;
recognizer_config.model_config.joiner_filename = config->model_config.joiner;
recognizer_config.model_config.tokens = config->model_config.tokens;
recognizer_config.model_config.num_threads = config->model_config.num_threads;
recognizer_config.model_config.debug = config->model_config.debug;
recognizer_config.enable_endpoint = config->enable_endpoint;
recognizer_config.endpoint_config.rule1.min_trailing_silence =
config->rule1_min_trailing_silence;
recognizer_config.endpoint_config.rule2.min_trailing_silence =
config->rule2_min_trailing_silence;
recognizer_config.endpoint_config.rule3.min_utterance_length =
config->rule3_min_utterance_length;
SherpaOnnxOnlineRecognizer *recognizer = new SherpaOnnxOnlineRecognizer;
recognizer->impl = new sherpa_onnx::OnlineRecognizer(recognizer_config);
return recognizer;
}
void DestroyOnlineRecognizer(SherpaOnnxOnlineRecognizer *recognizer) {
delete recognizer->impl;
delete recognizer;
}
SherpaOnnxOnlineStream *CreateOnlineStream(
const SherpaOnnxOnlineRecognizer *recognizer) {
SherpaOnnxOnlineStream *stream =
new SherpaOnnxOnlineStream(recognizer->impl->CreateStream());
return stream;
}
void DestoryOnlineStream(SherpaOnnxOnlineStream *stream) { delete stream; }
void AcceptWaveform(SherpaOnnxOnlineStream *stream, float sample_rate,
const float *samples, int32_t n) {
stream->impl->AcceptWaveform(sample_rate, samples, n);
}
int32_t IsOnlineStreamReady(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream) {
return recognizer->impl->IsReady(stream->impl.get());
}
void DecodeOnlineStream(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream) {
recognizer->impl->DecodeStream(stream->impl.get());
}
void DecodeMultipleOnlineStreams(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream **streams, int32_t n) {
std::vector<sherpa_onnx::OnlineStream *> ss(n);
for (int32_t i = 0; i != n; ++n) {
ss[i] = streams[i]->impl.get();
}
recognizer->impl->DecodeStreams(ss.data(), n);
}
SherpaOnnxOnlineRecognizerResult *GetOnlineStreamResult(
SherpaOnnxOnlineRecognizer *recognizer, SherpaOnnxOnlineStream *stream) {
sherpa_onnx::OnlineRecognizerResult result =
recognizer->impl->GetResult(stream->impl.get());
const auto &text = result.text;
auto r = new SherpaOnnxOnlineRecognizerResult;
r->text = new char[text.size() + 1];
std::copy(text.begin(), text.end(), const_cast<char *>(r->text));
const_cast<char *>(r->text)[text.size()] = 0;
return r;
}
void DestroyOnlineRecognizerResult(const SherpaOnnxOnlineRecognizerResult *r) {
delete[] r->text;
delete r;
}
void Reset(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream) {
recognizer->impl->Reset(stream->impl.get());
}
void InputFinished(SherpaOnnxOnlineStream *stream) {
stream->impl->InputFinished();
}
int32_t IsEndpoint(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream) {
return recognizer->impl->IsEndpoint(stream->impl.get());
}

194
sherpa-onnx/c-api/c-api.h Normal file
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// sherpa-onnx/c-api/c-api.h
//
// Copyright (c) 2023 Xiaomi Corporation
// C API for sherpa-onnx
//
// Please refer to
// https://github.com/k2-fsa/sherpa-onnx/blob/master/c-api-examples/decode-file-c-api.c
// for usages.
//
#ifndef SHERPA_ONNX_C_API_C_API_H_
#define SHERPA_ONNX_C_API_C_API_H_
#include <stdint.h>
#ifdef __cplusplus
extern "C" {
#endif
/// Please refer to
/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
/// to download pre-trained models. That is, you can find encoder-xxx.onnx
/// decoder-xxx.onnx, joiner-xxx.onnx, and tokens.txt for this struct
/// from there.
typedef struct SherpaOnnxOnlineTransducerModelConfig {
const char *encoder;
const char *decoder;
const char *joiner;
const char *tokens;
int32_t num_threads;
int32_t debug; // true to print debug information of the model
} SherpaOnnxOnlineTransducerModelConfig;
/// It expects 16 kHz 16-bit single channel wave format.
typedef struct SherpaOnnxFeatureConfig {
/// Sample rate of the input data. MUST match the one expected
/// by the model. For instance, it should be 16000 for models provided
/// by us.
int32_t sample_rate;
/// Feature dimension of the model.
/// For instance, it should be 80 for models provided by us.
int32_t feature_dim;
} SherpaOnnxFeatureConfig;
typedef struct SherpaOnnxOnlineRecognizerConfig {
SherpaOnnxFeatureConfig feat_config;
SherpaOnnxOnlineTransducerModelConfig model_config;
/// 0 to disable endpoint detection.
/// A non-zero value to enable endpoint detection.
int32_t enable_endpoint;
/// An endpoint is detected if trailing silence in seconds is larger than
/// this value even if nothing has been decoded.
/// Used only when enable_endpoint is not 0.
float rule1_min_trailing_silence;
/// An endpoint is detected if trailing silence in seconds is larger than
/// this value after something that is not blank has been decoded.
/// Used only when enable_endpoint is not 0.
float rule2_min_trailing_silence;
/// An endpoint is detected if the utterance in seconds is larger than
/// this value.
/// Used only when enable_endpoint is not 0.
float rule3_min_utterance_length;
} SherpaOnnxOnlineRecognizerConfig;
typedef struct SherpaOnnxOnlineRecognizerResult {
const char *text;
// TODO(fangjun): Add more fields
} SherpaOnnxOnlineRecognizerResult;
/// Note: OnlineRecognizer here means StreamingRecognizer.
/// It does not need to access the Internet during recognition.
/// Everything is run locally.
typedef struct SherpaOnnxOnlineRecognizer SherpaOnnxOnlineRecognizer;
typedef struct SherpaOnnxOnlineStream SherpaOnnxOnlineStream;
/// @param config Config for the recongizer.
/// @return Return a pointer to the recognizer. The user has to invoke
// DestroyOnlineRecognizer() to free it to avoid memory leak.
SherpaOnnxOnlineRecognizer *CreateOnlineRecognizer(
const SherpaOnnxOnlineRecognizerConfig *config);
/// Free a pointer returned by CreateOnlineRecognizer()
///
/// @param p A pointer returned by CreateOnlineRecognizer()
void DestroyOnlineRecognizer(SherpaOnnxOnlineRecognizer *recognizer);
/// Create an online stream for accepting wave samples.
///
/// @param recognizer A pointer returned by CreateOnlineRecognizer()
/// @return Return a pointer to an OnlineStream. The user has to invoke
/// DestoryOnlineStream() to free it to avoid memory leak.
SherpaOnnxOnlineStream *CreateOnlineStream(
const SherpaOnnxOnlineRecognizer *recognizer);
/// Destory an online stream.
///
/// @param stream A pointer returned by CreateOnlineStream()
void DestoryOnlineStream(SherpaOnnxOnlineStream *stream);
/// Accept input audio samples and compute the features.
/// The user has to invoke DecodeOnlineStream() to run the neural network and
/// decoding.
///
/// @param stream A pointer returned by CreateOnlineStream().
/// @param sample_rate Sampler rate of the input samples. It has to be 16 kHz
/// for models from icefall.
/// @param samples A pointer to a 1-D array containing audio samples.
/// The range of samples has to be normalized to [-1, 1].
/// @param n Number of elements in the samples array.
void AcceptWaveform(SherpaOnnxOnlineStream *stream, float sample_rate,
const float *samples, int32_t n);
/// Return 1 if there are enough number of feature frames for decoding.
/// Return 0 otherwise.
///
/// @param recognizer A pointer returned by CreateOnlineRecognizer
/// @param stream A pointer returned by CreateOnlineStream
int32_t IsOnlineStreamReady(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream);
/// Call this function to run the neural network model and decoding.
//
/// Precondition for this function: IsOnlineStreamReady() MUST return 1.
///
/// Usage example:
///
/// while (IsOnlineStreamReady(recognizer, stream)) {
/// DecodeOnlineStream(recognizer, stream);
/// }
///
void DecodeOnlineStream(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream);
/// This function is similar to DecodeOnlineStream(). It decodes multiple
/// OnlineStream in parallel.
///
/// Caution: The caller has to ensure each OnlineStream is ready, i.e.,
/// IsOnlineStreamReady() for that stream should return 1.
///
/// @param recognizer A pointer returned by CreateOnlineRecognizer()
/// @param streams A pointer array containing pointers returned by
/// CreateOnlineRecognizer()
/// @param n Number of elements in the given streams array.
void DecodeMultipleOnlineStreams(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream **streams, int32_t n);
/// Get the decoding results so far for an OnlineStream.
///
/// @param recognizer A pointer returned by CreateOnlineRecognizer().
/// @param stream A pointer returned by CreateOnlineStream().
/// @return A pointer containing the result. The user has to invoke
/// DestroyOnlineRecognizerResult() to free the returned pointer to
/// avoid memory leak.
SherpaOnnxOnlineRecognizerResult *GetOnlineStreamResult(
SherpaOnnxOnlineRecognizer *recognizer, SherpaOnnxOnlineStream *stream);
/// Destroy the pointer returned by GetOnlineStreamResult().
///
/// @param r A pointer returned by GetOnlineStreamResult()
void DestroyOnlineRecognizerResult(const SherpaOnnxOnlineRecognizerResult *r);
/// Reset an OnlineStream , which clears the neural network model state
/// and the state for decoding.
///
/// @param recognizer A pointer returned by CreateOnlineRecognizer().
/// @param stream A pointer returned by CreateOnlineStream
void Reset(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream);
/// Signal that no more audio samples would be available.
/// After this call, you cannot call AcceptWaveform() any more.
///
/// @param stream A pointer returned by CreateOnlineStream()
void InputFinished(SherpaOnnxOnlineStream *stream);
/// Return 1 if an endpoint has been detected.
///
/// @param recognizer A pointer returned by CreateOnlineRecognizer()
/// @param stream A pointer returned by CreateOnlineStream()
/// @return Return 1 if an endpoint is detected. Return 0 otherwise.
int32_t IsEndpoint(SherpaOnnxOnlineRecognizer *recognizer,
SherpaOnnxOnlineStream *stream);
#ifdef __cplusplus
} /* extern "C" */
#endif
#endif // SHERPA_ONNX_C_API_C_API_H_