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test.c
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test.c
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// c-api-examples/offline-tts-c-api.c
//
// Copyright (c) 2023 Xiaomi Corporation
// This file shows how to use sherpa-onnx C API
// to convert text to speech using an offline model.
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "cargs.h"
#include "sherpa-onnx/c-api/c-api.h"
static struct cag_option options[] = {
{.identifier = 'h',
.access_letters = "h",
.access_name = "help",
.description = "Show help"},
{.access_name = "vits-model",
.value_name = "/path/to/xxx.onnx",
.identifier = '0',
.description = "Path to VITS model"},
{.access_name = "vits-lexicon",
.value_name = "/path/to/lexicon.txt",
.identifier = '1',
.description = "Path to lexicon.txt for VITS models"},
{.access_name = "vits-tokens",
.value_name = "/path/to/tokens.txt",
.identifier = '2',
.description = "Path to tokens.txt for VITS models"},
{.access_name = "vits-noise-scale",
.value_name = "0.667",
.identifier = '3',
.description = "noise_scale for VITS models"},
{.access_name = "vits-noise-scale-w",
.value_name = "0.8",
.identifier = '4',
.description = "noise_scale_w for VITS models"},
{.access_name = "vits-length-scale",
.value_name = "1.0",
.identifier = '5',
.description =
"length_scale for VITS models. Default to 1. You can tune it "
"to change the speech speed. small -> faster; large -> slower. "},
{.access_name = "num-threads",
.value_name = "1",
.identifier = '6',
.description = "Number of threads"},
{.access_name = "provider",
.value_name = "cpu",
.identifier = '7',
.description = "Provider: cpu (default), cuda, coreml"},
{.access_name = "debug",
.value_name = "0",
.identifier = '8',
.description = "1 to show debug messages while loading the model"},
{.access_name = "sid",
.value_name = "0",
.identifier = '9',
.description = "Speaker ID. Default to 0. Note it is not used for "
"single-speaker models."},
{.access_name = "output-filename",
.value_name = "./generated.wav",
.identifier = 'a',
.description =
"Filename to save the generated audio. Default to ./generated.wav"},
{.access_name = "tts-rule-fsts",
.value_name = "/path/to/rule.fst",
.identifier = 'b',
.description = "It not empty, it contains a list of rule FST filenames."
"Multiple filenames are separated by a comma and they are "
"applied from left to right. An example value: "
"rule1.fst,rule2,fst,rule3.fst"},
{.access_name = "max-num-sentences",
.value_name = "2",
.identifier = 'c',
.description = "Maximum number of sentences that we process at a time. "
"This is to avoid OOM for very long input text. "
"If you set it to -1, then we process all sentences in a "
"single batch."},
{.access_name = "vits-data-dir",
.value_name = "/path/to/espeak-ng-data",
.identifier = 'd',
.description =
"Path to espeak-ng-data. If it is given, --vits-lexicon is ignored"},
};
static void ShowUsage() {
const char *kUsageMessage =
"Offline text-to-speech with sherpa-onnx C API"
"\n"
"./offline-tts-c-api \\\n"
" --vits-model=/path/to/model.onnx \\\n"
" --vits-lexicon=/path/to/lexicon.txt \\\n"
" --vits-tokens=/path/to/tokens.txt \\\n"
" --sid=0 \\\n"
" --output-filename=./generated.wav \\\n"
" 'some text within single quotes on linux/macos or use double quotes on "
"windows'\n"
"\n"
"It will generate a file ./generated.wav as specified by "
"--output-filename.\n"
"\n"
"You can download a test model from\n"
"https://huggingface.co/csukuangfj/vits-ljs\n"
"\n"
"For instance, you can use:\n"
"wget "
"https://huggingface.co/csukuangfj/vits-ljs/resolve/main/vits-ljs.onnx\n"
"wget "
"https://huggingface.co/csukuangfj/vits-ljs/resolve/main/lexicon.txt\n"
"wget "
"https://huggingface.co/csukuangfj/vits-ljs/resolve/main/tokens.txt\n"
"\n"
"./offline-tts-c-api \\\n"
" --vits-model=./vits-ljs.onnx \\\n"
" --vits-lexicon=./lexicon.txt \\\n"
" --vits-tokens=./tokens.txt \\\n"
" --sid=0 \\\n"
" --output-filename=./generated.wav \\\n"
" 'liliana, the most beautiful and lovely assistant of our team!'\n"
"\n"
"Please see\n"
"https://k2-fsa.github.io/sherpa/onnx/tts/index.html\n"
"or details.\n\n";
fprintf(stderr, "%s", kUsageMessage);
cag_option_print(options, CAG_ARRAY_SIZE(options), stderr);
exit(0);
}
int32_t main(int32_t argc, char *argv[]) {
cag_option_context context;
char identifier;
const char *value;
cag_option_prepare(&context, options, CAG_ARRAY_SIZE(options), argc, argv);
SherpaOnnxOfflineTtsConfig config;
memset(&config, 0, sizeof(config));
int32_t sid = 0;
const char *filename = strdup("./generated.wav");
const char *text;
while (cag_option_fetch(&context)) {
identifier = cag_option_get(&context);
value = cag_option_get_value(&context);
switch (identifier) {
case '0':
config.model.vits.model = value;
break;
case '1':
config.model.vits.lexicon = value;
break;
case '2':
config.model.vits.tokens = value;
break;
case '3':
config.model.vits.noise_scale = atof(value);
break;
case '4':
config.model.vits.noise_scale_w = atof(value);
break;
case '5':
config.model.vits.length_scale = atof(value);
break;
case '6':
config.model.num_threads = atoi(value);
break;
case '7':
config.model.provider = value;
break;
case '8':
config.model.debug = atoi(value);
break;
case '9':
sid = atoi(value);
break;
case 'a':
free((void *)filename);
filename = strdup(value);
break;
case 'b':
config.rule_fsts = value;
break;
case 'c':
config.max_num_sentences = atoi(value);
break;
case 'd':
config.model.vits.data_dir = value;
break;
case '?':
fprintf(stderr, "Unknown option\n");
// fall through
case 'h':
// fall through
default:
ShowUsage();
}
}
fprintf(stderr, "here\n");
if (!config.model.vits.model) {
fprintf(stderr, "Please provide --vits-model\n");
ShowUsage();
}
if (!config.model.vits.tokens) {
fprintf(stderr, "Please provide --vits-tokens\n");
ShowUsage();
}
if (!config.model.vits.data_dir && !config.model.vits.lexicon) {
fprintf(stderr, "Please provide --vits-data-dir or --vits-lexicon\n");
ShowUsage();
}
// the last arg is the text
text = argv[argc - 1];
if (text[0] == '-') {
fprintf(stderr, "\n***Please input your text!***\n\n");
fprintf(stderr, "\n---------------Usage---------------\n\n");
ShowUsage();
}
SherpaOnnxOfflineTts *tts = SherpaOnnxCreateOfflineTts(&config);
const SherpaOnnxGeneratedAudio *audio =
SherpaOnnxOfflineTtsGenerate(tts, text, sid, 1.0);
SherpaOnnxWriteWave(audio->samples, audio->n, audio->sample_rate, filename);
SherpaOnnxDestroyOfflineTtsGeneratedAudio(audio);
SherpaOnnxDestroyOfflineTts(tts);
fprintf(stderr, "Input text is: %s\n", text);
fprintf(stderr, "Speaker ID is is: %d\n", sid);
fprintf(stderr, "Saved to: %s\n", filename);
free((void *)filename);
return 0;
}