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PaddleSpeech/runtime/engine/cls/nnet/panns_nnet.h

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2.2 KiB

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "common/frontend/data_cache.h"
#include "common/frontend/fbank.h"
#include "common/frontend/feature-fbank.h"
#include "common/frontend/frontend_itf.h"
#include "common/frontend/wave-reader.h"
#include "common/utils/audio_process.h"
#include "common/utils/file_utils.h"
#include "fastdeploy/runtime.h"
#include "kaldi/util/kaldi-io.h"
#include "kaldi/util/table-types.h"
namespace ppspeech {
struct ClsNnetConf {
// wav
bool wav_normal_;
std::string wav_normal_type_;
float wav_norm_mul_factor_;
// model
std::string model_file_path_;
std::string param_file_path_;
std::string dict_file_path_;
int num_cpu_thread_;
// fbank
float samp_freq;
float frame_length_ms;
float frame_shift_ms;
int num_bins;
float low_freq;
float high_freq;
float dither;
};
class ClsNnet {
public:
ClsNnet();
int Init(const ClsNnetConf& conf);
int Forward(const char* wav_path,
int topk,
char* result,
int result_max_len);
void Reset();
private:
int ModelForward(float* features,
const int num_frames,
const int feat_dim,
std::vector<float>* model_out);
int ModelForwardStream(std::vector<float>* feats);
int GetTopkResult(int k, const std::vector<float>& model_out);
ClsNnetConf conf_;
knf::FbankOptions fbank_opts_;
std::unique_ptr<fastdeploy::Runtime> runtime_;
std::vector<std::string> dict_;
std::stringstream ss_;
};
} // namespace ppspeech