fix nnet output name

pull/1750/head
Hui Zhang 2 years ago
parent 1d862487c6
commit ea5db3daa8

@ -4,8 +4,11 @@ Please go to `aishell` to test it.
* aishell
Deepspeech2 Streaming Decoding under aishell dataset.
* websocket
Streaming ASR with websocket.
The below is for developing and offline testing:
* nnet
* feat
* decoder

@ -60,6 +60,7 @@ int main(int argc, char* argv[]) {
for (int i = 0; i < cur_chunk_size; ++i) {
wav_chunk(i) = waveform(sample_offset + i);
}
// wav_chunk = waveform.Range(sample_offset + i, cur_chunk_size);
recognizer.Accept(wav_chunk);
if (cur_chunk_size < chunk_sample_size) {
@ -67,8 +68,10 @@ int main(int argc, char* argv[]) {
}
recognizer.Decode();
// no overlap
sample_offset += cur_chunk_size;
}
std::string result;
result = recognizer.GetFinalResult();
recognizer.Reset();

@ -6,5 +6,4 @@ target_link_libraries(websocket_server_main PUBLIC frontend kaldi-feat-common nn
add_executable(websocket_client_main ${CMAKE_CURRENT_SOURCE_DIR}/websocket_client_main.cc)
target_include_directories(websocket_client_main PRIVATE ${SPEECHX_ROOT} ${SPEECHX_ROOT}/kaldi)
target_link_libraries(websocket_client_main PUBLIC frontend kaldi-feat-common nnet decoder fst utils gflags glog kaldi-base kaldi-matrix kaldi-util kaldi-decoder websocket ${DEPS})
target_link_libraries(websocket_client_main PUBLIC frontend kaldi-feat-common nnet decoder fst utils gflags glog kaldi-base kaldi-matrix kaldi-util kaldi-decoder websocket ${DEPS})

@ -37,13 +37,16 @@ DEFINE_int32(receptive_field_length,
DEFINE_int32(downsampling_rate,
4,
"two CNN(kernel=5) module downsampling rate.");
DEFINE_string(
model_input_names,
"audio_chunk,audio_chunk_lens,chunk_state_h_box,chunk_state_c_box",
"model input names");
DEFINE_string(model_output_names,
"save_infer_model/scale_0.tmp_1,save_infer_model/"
"scale_1.tmp_1,save_infer_model/scale_2.tmp_1,save_infer_model/"
"scale_3.tmp_1",
"softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0",
"model output names");
DEFINE_string(model_cache_names, "5-1-1024,5-1-1024", "model cache names");
namespace ppspeech {
// todo refactor later
FeaturePipelineOptions InitFeaturePipelineOptions() {

Loading…
Cancel
Save