0d9237b8c0
* [android] init android runtime * [android] add voice rectangle view * [android] finished * [android] fix lint
120 lines
3.9 KiB
C++
120 lines
3.9 KiB
C++
// Copyright (c) 2022 Zhendong Peng (pzd17@tsinghua.org.cn)
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <jni.h>
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#include <string>
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#include <thread>
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#include "frontend/feature_pipeline.h"
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#include "kws/keyword_spotting.h"
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#include "utils/log.h"
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namespace wekws {
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std::shared_ptr<KeywordSpotting> spotter;
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std::shared_ptr<wenet::FeaturePipelineConfig> feature_config;
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std::shared_ptr<wenet::FeaturePipeline> feature_pipeline;
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std::string result; // NOLINT
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int offset;
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void init(JNIEnv* env, jobject, jstring jModelDir) {
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const char* pModelDir = env->GetStringUTFChars(jModelDir, nullptr);
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std::string modelPath = std::string(pModelDir) + "/wenwen.ort";
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spotter = std::make_shared<KeywordSpotting>(modelPath);
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feature_config = std::make_shared<wenet::FeaturePipelineConfig>(40, 16000);
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feature_pipeline = std::make_shared<wenet::FeaturePipeline>(*feature_config);
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}
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void reset(JNIEnv *env, jobject) {
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offset = 0;
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result = "";
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spotter->Reset();
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}
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void accept_waveform(JNIEnv *env, jobject, jshortArray jWaveform) {
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jsize size = env->GetArrayLength(jWaveform);
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int16_t* waveform = env->GetShortArrayElements(jWaveform, 0);
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std::vector<int16_t> v(waveform, waveform + size);
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feature_pipeline->AcceptWaveform(v);
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LOG(INFO) << "wekws accept waveform in ms: " << int(size / 16);
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}
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void set_input_finished() {
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LOG(INFO) << "wekws input finished";
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feature_pipeline->set_input_finished();
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}
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void spot_thread_func() {
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while (true) {
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std::vector<std::vector<float>> feats;
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feature_pipeline->Read(80, &feats);
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std::vector<std::vector<float>> prob;
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spotter->Forward(feats, &prob);
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float max_hi_xiaowen = 0;
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float max_nihao_wenwen = 0;
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for (int t = 0; t < prob.size(); t++) {
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max_hi_xiaowen = std::max(prob[t][0], max_hi_xiaowen);
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max_nihao_wenwen = std::max(prob[t][1], max_nihao_wenwen);
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}
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float max_prob = max_hi_xiaowen + max_nihao_wenwen;
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result = std::to_string(offset) + " prob: " + std::to_string(max_prob);
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offset += prob.size();
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}
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}
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void start_spot() {
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std::thread decode_thread(spot_thread_func);
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decode_thread.detach();
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}
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jstring get_result(JNIEnv *env, jobject) {
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LOG(INFO) << "wekws ui result: " << result;
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return env->NewStringUTF(result.c_str());
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}
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} // namespace wekws
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JNIEXPORT jint JNI_OnLoad(JavaVM *vm, void *) {
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JNIEnv *env;
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if (vm->GetEnv(reinterpret_cast<void **>(&env), JNI_VERSION_1_6) != JNI_OK) {
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return JNI_ERR;
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}
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jclass c = env->FindClass("cn/org/wenet/wekws/Spot");
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if (c == nullptr) {
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return JNI_ERR;
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}
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static const JNINativeMethod methods[] = {
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{"init", "(Ljava/lang/String;)V", reinterpret_cast<void*>(wekws::init)},
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{"reset", "()V", reinterpret_cast<void *>(wekws::reset)},
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{"acceptWaveform", "([S)V",
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reinterpret_cast<void *>(wekws::accept_waveform)},
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{"setInputFinished", "()V",
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reinterpret_cast<void *>(wekws::set_input_finished)},
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{"startSpot", "()V", reinterpret_cast<void *>(wekws::start_spot)},
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{"getResult", "()Ljava/lang/String;",
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reinterpret_cast<void *>(wekws::get_result)},
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};
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int rc = env->RegisterNatives(c, methods,
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sizeof(methods) / sizeof(JNINativeMethod));
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if (rc != JNI_OK) {
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return rc;
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}
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return JNI_VERSION_1_6;
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}
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