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decode-file-c-api.c
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decode-file-c-api.c
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/**
* Copyright (c) 2023 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* 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 <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "sherpa-ncnn/c-api/c-api.h"
const char *kUsage =
"\n"
"Usage:\n"
" ./bin/decode-file-c-api \\\n"
" /path/to/tokens.txt \\\n"
" /path/to/encoder.ncnn.param \\\n"
" /path/to/encoder.ncnn.bin \\\n"
" /path/to/decoder.ncnn.param \\\n"
" /path/to/decoder.ncnn.bin \\\n"
" /path/to/joiner.ncnn.param \\\n"
" /path/to/joiner.ncnn.bin \\\n"
" /path/to/foo.wav [<num_threads> [decode_method, can be "
"greedy_search/modified_beam_search]]"
"\n\n"
"Please refer to \n"
"https://k2-fsa.github.io/sherpa/ncnn/pretrained_models/index.html\n"
"for a list of pre-trained models to download.\n";
int32_t main(int32_t argc, char *argv[]) {
if (argc < 9 || argc > 13) {
fprintf(stderr, "%s\n", kUsage);
return -1;
}
SherpaNcnnRecognizerConfig config;
memset(&config, 0, sizeof(config));
config.model_config.tokens = argv[1];
config.model_config.encoder_param = argv[2];
config.model_config.encoder_bin = argv[3];
config.model_config.decoder_param = argv[4];
config.model_config.decoder_bin = argv[5];
config.model_config.joiner_param = argv[6];
config.model_config.joiner_bin = argv[7];
int32_t num_threads = 4;
if (argc >= 10 && atoi(argv[9]) > 0) {
num_threads = atoi(argv[9]);
}
config.model_config.num_threads = num_threads;
config.model_config.use_vulkan_compute = 0;
config.decoder_config.decoding_method = "greedy_search";
if (argc >= 11) {
config.decoder_config.decoding_method = argv[10];
}
config.decoder_config.num_active_paths = 4;
config.enable_endpoint = 0;
config.rule1_min_trailing_silence = 2.4;
config.rule2_min_trailing_silence = 1.2;
config.rule3_min_utterance_length = 300;
config.feat_config.sampling_rate = 16000;
config.feat_config.feature_dim = 80;
if (argc >= 12) {
config.hotwords_file = argv[11];
}
if (argc == 13) {
config.hotwords_score = atof(argv[12]);
}
SherpaNcnnRecognizer *recognizer = CreateRecognizer(&config);
const char *wav_filename = argv[8];
FILE *fp = fopen(wav_filename, "rb");
if (!fp) {
fprintf(stderr, "Failed to open %s\n", wav_filename);
return -1;
}
// Assume the wave header occupies 44 bytes.
fseek(fp, 44, SEEK_SET);
// simulate streaming
#define N 3200 // 0.2 s. Sample rate is fixed to 16 kHz
int16_t buffer[N];
float samples[N];
SherpaNcnnStream *s = CreateStream(recognizer);
SherpaNcnnDisplay *display = CreateDisplay(50);
int32_t segment_id = -1;
while (!feof(fp)) {
size_t n = fread((void *)buffer, sizeof(int16_t), N, fp);
if (n > 0) {
for (size_t i = 0; i != n; ++i) {
samples[i] = buffer[i] / 32768.;
}
AcceptWaveform(s, 16000, samples, n);
while (IsReady(recognizer, s)) {
Decode(recognizer, s);
}
SherpaNcnnResult *r = GetResult(recognizer, s);
if (strlen(r->text)) {
SherpaNcnnPrint(display, segment_id, r->text);
}
DestroyResult(r);
}
}
fclose(fp);
// add some tail padding
float tail_paddings[4800] = {0}; // 0.3 seconds at 16 kHz sample rate
AcceptWaveform(s, 16000, tail_paddings, 4800);
InputFinished(s);
while (IsReady(recognizer, s)) {
Decode(recognizer, s);
}
SherpaNcnnResult *r = GetResult(recognizer, s);
if (strlen(r->text)) {
SherpaNcnnPrint(display, segment_id, r->text);
}
DestroyResult(r);
DestroyDisplay(display);
DestroyStream(s);
DestroyRecognizer(recognizer);
fprintf(stderr, "\n");
return 0;
}