add test script

pull/1720/head
Yang Zhou 2 years ago
parent 1133540682
commit dc8efca272

@ -0,0 +1,37 @@
#!/bin/bash
set +x
set -e
. path.sh
# 1. compile
if [ ! -d ${SPEECHX_EXAMPLES} ]; then
pushd ${SPEECHX_ROOT}
bash build.sh
popd
fi
# input
mkdir -p data
data=$PWD/data
ckpt_dir=$data/model
model_dir=$ckpt_dir/exp/deepspeech2_online/checkpoints/
vocb_dir=$ckpt_dir/data/lang_char
# output
aishell_wav_scp=aishell_test.scp
if [ ! -d $data/test ]; then
pushd $data
wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_test.zip
unzip aishell_test.zip
popd
realpath $data/test/*/*.wav > $data/wavlist
awk -F '/' '{ print $(NF) }' $data/wavlist | awk -F '.' '{ print $1 }' > $data/utt_id
paste $data/utt_id $data/wavlist > $data/$aishell_wav_scp
fi
export GLOG_logtostderr=1
# websocket client
websocket_client_main \
--wav_rspecifier=scp:$data/$aishell_wav_scp --streaming_chunk=0.36

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#!/bin/bash
set +x
set -e
. path.sh
# 1. compile
if [ ! -d ${SPEECHX_EXAMPLES} ]; then
pushd ${SPEECHX_ROOT}
bash build.sh
popd
fi
# input
mkdir -p data
data=$PWD/data
ckpt_dir=$data/model
model_dir=$ckpt_dir/exp/deepspeech2_online/checkpoints/
vocb_dir=$ckpt_dir/data/lang_char/
# output
aishell_wav_scp=aishell_test.scp
if [ ! -d $data/test ]; then
pushd $data
wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_test.zip
unzip aishell_test.zip
popd
realpath $data/test/*/*.wav > $data/wavlist
awk -F '/' '{ print $(NF) }' $data/wavlist | awk -F '.' '{ print $1 }' > $data/utt_id
paste $data/utt_id $data/wavlist > $data/$aishell_wav_scp
fi
if [ ! -d $ckpt_dir ]; then
mkdir -p $ckpt_dir
wget -P $ckpt_dir -c https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz
tar xzfv $ckpt_dir/asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz -C $ckpt_dir
fi
export GLOG_logtostderr=1
# 3. gen cmvn
cmvn=$PWD/cmvn.ark
cmvn-json2kaldi --json_file=$ckpt_dir/data/mean_std.json --cmvn_write_path=$cmvn
text=$data/test/text
graph_dir=./aishell_graph
if [ ! -d $graph_dir ]; then
wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_graph.zip
unzip aishell_graph.zip
fi
# 5. test websocket server
websocket_server_main \
--cmvn_file=$cmvn \
--model_path=$model_dir/avg_1.jit.pdmodel \
--streaming_chunk=0.1 \
--convert2PCM32=true \
--params_path=$model_dir/avg_1.jit.pdiparams \
--word_symbol_table=$graph_dir/words.txt \
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
--graph_path=$graph_dir/TLG.fst --max_active=7500 \
--acoustic_scale=1.2

@ -0,0 +1,85 @@
// 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.
#include "decoder/recognizer.h"
#include "decoder/param.h"
#include "kaldi/feat/wave-reader.h"
#include "kaldi/util/table-types.h"
DEFINE_string(wav_rspecifier, "", "test feature rspecifier");
DEFINE_string(result_wspecifier, "", "test result wspecifier");
int main(int argc, char* argv[]) {
gflags::ParseCommandLineFlags(&argc, &argv, false);
google::InitGoogleLogging(argv[0]);
ppspeech::RecognizerResource resource = ppspeech::InitRecognizerResoure();
ppspeech::Recognizer recognizer(resource);
kaldi::SequentialTableReader<kaldi::WaveHolder> wav_reader(
FLAGS_wav_rspecifier);
kaldi::TokenWriter result_writer(FLAGS_result_wspecifier);
int sample_rate = 16000;
float streaming_chunk = FLAGS_streaming_chunk;
int chunk_sample_size = streaming_chunk * sample_rate;
LOG(INFO) << "sr: " << sample_rate;
LOG(INFO) << "chunk size (s): " << streaming_chunk;
LOG(INFO) << "chunk size (sample): " << chunk_sample_size;
int32 num_done = 0, num_err = 0;
for (; !wav_reader.Done(); wav_reader.Next()) {
std::string utt = wav_reader.Key();
const kaldi::WaveData& wave_data = wav_reader.Value();
int32 this_channel = 0;
kaldi::SubVector<kaldi::BaseFloat> waveform(wave_data.Data(),
this_channel);
int tot_samples = waveform.Dim();
LOG(INFO) << "wav len (sample): " << tot_samples;
int sample_offset = 0;
std::vector<kaldi::Vector<BaseFloat>> feats;
int feature_rows = 0;
while (sample_offset < tot_samples) {
int cur_chunk_size =
std::min(chunk_sample_size, tot_samples - sample_offset);
kaldi::Vector<kaldi::BaseFloat> wav_chunk(cur_chunk_size);
for (int i = 0; i < cur_chunk_size; ++i) {
wav_chunk(i) = waveform(sample_offset + i);
}
recognizer.Accept(wav_chunk);
if (cur_chunk_size < chunk_sample_size) {
recognizer.SetFinished();
}
recognizer.Decode();
sample_offset += cur_chunk_size;
}
std::string result;
result = recognizer.GetFinalResult();
recognizer.Reset();
if (result.empty()) {
// the TokenWriter can not write empty string.
++num_err;
KALDI_LOG << " the result of " << utt << " is empty";
continue;
}
KALDI_LOG << " the result of " << utt << " is " << result;
result_writer.Write(utt, result);
++num_done;
}
}
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