-
Notifications
You must be signed in to change notification settings - Fork 82
/
file.js
executable file
·162 lines (141 loc) · 4.76 KB
/
file.js
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
#! /usr/bin/env node
//
// Copyright 2020 Picovoice Inc.
//
// You may not use this file except in compliance with the license. A copy of the license is located in the "LICENSE"
// file accompanying this source.
//
// 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.
//
"use strict";
const { program } = require("commander");
const fs = require("fs");
const WaveFile = require("wavefile").WaveFile;
const {
Rhino,
getInt16Frames,
checkWaveFile
} = require("@picovoice/rhino-node");
const { RhinoInvalidArgumentError } = require("@picovoice/rhino-node/dist/errors");
program
.requiredOption(
"-a, --access_key <string>",
"AccessKey obtain from the Picovoice Console (https://console.picovoice.ai/)"
)
.requiredOption(
"-i, --input_audio_file_path <string>",
"input audio wave file in 16-bit 16KHz linear PCM format (mono)"
)
.requiredOption(
"-c, --context_path <string>",
`absolute path to rhino context (.rhn extension)`
)
.option(
"-l, --library_file_path <string>",
"absolute path to rhino dynamic library"
)
.option("-m, --model_file_path <string>", "absolute path to rhino model")
.option(
"-s, --sensitivity <number>",
"sensitivity value between 0 and 1",
parseFloat,
0.5
).option(
"-d, --endpoint_duration_sec <bool>",
"Endpoint duration in seconds. " +
"An endpoint is a chunk of silence at the end of an utterance that marks the end of spoken command. " +
"It should be a positive number within [0.5, 5]. " +
"A lower endpoint duration reduces delay and improves responsiveness. " +
"A higher endpoint duration assures Rhino doesn't return inference preemptively " +
"in case the user pauses before finishing the request." ,
parseFloat,
1.0
).option(
"-e, --requires_endpoint <bool>",
"If set to `false`, Rhino does not require an endpoint (chunk of silence) before finishing inference.",
"true"
);
if (process.argv.length < 3) {
program.help();
}
program.parse(process.argv);
function fileDemo() {
let audioPath = program["input_audio_file_path"];
let access_key = program["access_key"]
let contextPath = program["context_path"];
let libraryFilePath = program["library_file_path"];
let modelFilePath = program["model_file_path"];
let sensitivity = program["sensitivity"];
let endpointDurationSec = program["endpoint_duration_sec"];
let requiresEndpoint = program["requires_endpoint"].toLowerCase() !== 'false';
if (isNaN(sensitivity) || sensitivity < 0 || sensitivity > 1) {
console.error("--sensitivity must be a number in the range [0,1]");
return;
}
if (isNaN(endpointDurationSec) || endpointDurationSec < 0.5 || endpointDurationSec > 5.0) {
console.error("--endpointDurationSec must be a number in the range [0.5, 5.0]");
return;
}
if (!fs.existsSync(contextPath)) {
throw new RhinoInvalidArgumentError(
`File not found at 'contextPath': ${contextPath}`
);
}
let engineInstance = new Rhino(
access_key,
contextPath,
sensitivity,
endpointDurationSec,
requiresEndpoint,
modelFilePath,
libraryFilePath
);
console.log("Context info:");
console.log("-------------");
console.log(engineInstance.getContextInfo());
let contextName = contextPath
.split(/[\\|\/]/)
.pop()
.split("_")[0];
let audioFileName = audioPath.split(/[\\|\/]/).pop();
if (!fs.existsSync(audioPath)) {
console.error(`--input_audio_file_path file not found: ${audioPath}`);
return;
}
let waveBuffer = fs.readFileSync(audioPath);
let inputWaveFile;
try {
inputWaveFile = new WaveFile(waveBuffer);
} catch (error) {
console.error(`Exception trying to read file as wave format: ${audioPath}`);
console.error(error);
return;
}
if (!checkWaveFile(inputWaveFile, engineInstance.sampleRate)) {
console.error(
"Audio file did not meet requirements. Wave file must be 16KHz, 16-bit, linear PCM (mono)."
);
}
let frames = getInt16Frames(inputWaveFile, engineInstance.frameLength);
let isFinalized = false;
for (let frame of frames) {
isFinalized = engineInstance.process(frame);
if (isFinalized) {
let inference = engineInstance.getInference();
console.log(
`Inference result of '${audioFileName}' using context '${contextName}':`
);
console.log(JSON.stringify(inference, null, 4));
break;
}
}
if (!isFinalized) {
console.log(
"Rhino did receive enough frames of audio to reach an inference conclusion."
);
}
engineInstance.release();
}
fileDemo();