flutter_nnnoiseless 1.4.0
flutter_nnnoiseless: ^1.4.0 copied to clipboard
Recurrent neural network for audio noise reduction .
import 'dart:async';
import 'dart:math' as math;
import 'dart:typed_data';
import 'package:flutter/foundation.dart' show kIsWeb;
import 'package:flutter/material.dart';
import 'package:flutter/services.dart';
import 'package:flutter_nnnoiseless/flutter_nnnoiseless.dart';
import 'package:path/path.dart' as path;
import 'package:record/record.dart';
import 'capture_web.dart' if (dart.library.io) 'capture_io.dart' as capture;
Future<void> main() async {
runApp(const MyApp());
}
class MyApp extends StatelessWidget {
const MyApp({super.key});
@override
Widget build(BuildContext context) {
return MaterialApp(
theme: ThemeData(colorSchemeSeed: Colors.teal, useMaterial3: true),
home: const DemoPage(),
);
}
}
class DemoPage extends StatefulWidget {
const DemoPage({super.key});
@override
State<DemoPage> createState() => _DemoPageState();
}
class _DemoPageState extends State<DemoPage> {
final _record = AudioRecorder();
String _tempDir = '';
// File denoising state.
double? _fileProgress;
String _fileStatus = 'Denoises the bundled sample.wav with live progress.';
NoiselessCancelToken? _fileCancelToken;
// Real-time denoising state.
NoiselessSession? _session;
StreamSubscription<Uint8List>? _micSubscription;
double _voiceProbability = 0.0;
String _micStatus = 'Streams the microphone through a NoiselessSession.';
// Self-test state.
String _selfTestStatus = 'Runs a synthetic session round-trip on-device.';
@override
void initState() {
super.initState();
capture.tempDirPath().then(
(dir) => setState(() => _tempDir = dir ?? ''),
);
}
@override
void dispose() {
_micSubscription?.cancel();
_session?.dispose();
_record.dispose();
super.dispose();
}
@override
Widget build(BuildContext context) {
final recording = _session != null;
return Scaffold(
appBar: AppBar(title: const Text('flutter_nnnoiseless demo')),
body: ListView(
padding: const EdgeInsets.all(16),
children: [
Card(
child: Padding(
padding: const EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text('Self-test',
style: Theme.of(context).textTheme.titleMedium),
const SizedBox(height: 8),
Text(_selfTestStatus),
const SizedBox(height: 12),
FilledButton(
onPressed: _runSelfTest,
child: const Text('Run self-test'),
),
],
),
),
),
const SizedBox(height: 16),
if (!kIsWeb)
Card(
child: Padding(
padding: const EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text('Denoise a file',
style: Theme.of(context).textTheme.titleMedium),
const SizedBox(height: 8),
Text(_fileStatus),
const SizedBox(height: 12),
if (_fileProgress != null) ...[
LinearProgressIndicator(value: _fileProgress),
const SizedBox(height: 12),
],
Row(
children: [
FilledButton(
onPressed: _fileProgress == null && _tempDir.isNotEmpty
? _denoiseFile
: null,
child: const Text('Denoise sample.wav'),
),
const SizedBox(width: 12),
if (_fileProgress != null)
OutlinedButton(
onPressed: () => _fileCancelToken?.cancel(),
child: const Text('Cancel'),
),
],
),
],
),
),
),
const SizedBox(height: 16),
Card(
child: Padding(
padding: const EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text('Real-time microphone denoising',
style: Theme.of(context).textTheme.titleMedium),
const SizedBox(height: 8),
Text(_micStatus),
const SizedBox(height: 12),
if (recording) ...[
Row(
children: [
Icon(
_voiceProbability >= 0.5 ? Icons.mic : Icons.mic_none,
color: _voiceProbability >= 0.5
? Colors.teal
: Colors.grey,
),
const SizedBox(width: 8),
Expanded(
child: LinearProgressIndicator(
value: _voiceProbability,
minHeight: 8,
),
),
const SizedBox(width: 8),
Text('${(_voiceProbability * 100).round()}%'),
],
),
const SizedBox(height: 4),
Text(
_voiceProbability >= 0.5 ? 'Speech detected' : 'Silence',
style: Theme.of(context).textTheme.bodySmall,
),
const SizedBox(height: 12),
],
FilledButton(
onPressed: !kIsWeb && _tempDir.isEmpty
? null
: (recording ? _stopRecording : _startRecording),
child: Text(recording ? 'Stop' : 'Record and denoise'),
),
],
),
),
),
],
),
);
}
/// Exercises the denoiser end-to-end without any files or microphone:
/// one second of a noisy 16kHz tone through a resampling session.
Future<void> _runSelfTest() async {
setState(() => _selfTestStatus = 'Self-test: running...');
try {
final session = await NoiselessSession.create(sampleRate: 16000);
final samples = Int16List(16000);
for (var i = 0; i < samples.length; i++) {
samples[i] = (10000 *
(0.8 * math.sin(2 * math.pi * 440 * i / 16000) +
0.2 * ((i * 2654435761) % 1000 / 500 - 1)))
.round()
.clamp(-32768, 32767);
}
final result = await session.process(samples.buffer.asUint8List());
final tail = await session.flush();
session.dispose();
final totalBytes = result.audio.length + tail.length;
final frames = result.voiceProbabilities.length;
final ok = totalBytes > samples.lengthInBytes * 0.85 && frames > 90;
setState(() => _selfTestStatus = ok
? 'Self-test: PASS ($totalBytes bytes out, $frames VAD frames, '
'max VAD ${(result.voiceProbability * 100).round()}%)'
: 'Self-test: FAIL ($totalBytes bytes out, $frames VAD frames)');
} catch (e) {
setState(() => _selfTestStatus = 'Self-test: FAIL ($e)');
}
}
Future<void> _denoiseFile() async {
if (_tempDir.isEmpty) return;
final token = NoiselessCancelToken();
setState(() {
_fileCancelToken = token;
_fileProgress = 0.0;
_fileStatus = 'Denoising...';
});
try {
final byteData = await rootBundle.load('assets/sample.wav');
final inputPath = path.join(_tempDir, 'sample.wav');
final outputPath = path.join(_tempDir, 'output.wav');
await capture.writeBytes(inputPath, byteData.buffer.asUint8List());
await Noiseless.instance.denoiseFile(
inputPathStr: inputPath,
outputPathStr: outputPath,
cancelToken: token,
onProgress: (fraction) => setState(() => _fileProgress = fraction),
);
setState(() => _fileStatus = 'Done: $outputPath');
} on DenoiseCancelledException {
setState(() => _fileStatus = 'Cancelled.');
} catch (e) {
setState(() => _fileStatus = 'Failed: $e');
} finally {
setState(() {
_fileProgress = null;
_fileCancelToken = null;
});
}
}
Future<void> _startRecording() async {
if (!await _record.hasPermission()) {
setState(() => _micStatus = 'Microphone permission denied.');
return;
}
// Unique names per recording so a new take never clobbers files that a
// previous recording's onDone handler is still flushing or converting.
final stamp = DateTime.now().millisecondsSinceEpoch;
final rawPath = path.join(_tempDir, 'mic_raw_$stamp');
final denoisedPath = path.join(_tempDir, 'mic_denoised_$stamp');
final rawSink = capture.AudioCapture(rawPath);
final denoisedSink = capture.AudioCapture(denoisedPath);
/// One session per recording: it owns the denoiser state and reports a
/// voice activity probability for every processed chunk.
final session = await NoiselessSession.create(sampleRate: 48000);
final stream = await _record.startStream(
const RecordConfig(
encoder: AudioEncoder.pcm16bits,
sampleRate: 48000,
numChannels: 1,
),
);
setState(() {
_session = session;
_micStatus = kIsWeb
? 'Recording... live voice activity below (audio is not saved '
'on web).'
: 'Recording... raw and denoised WAVs are saved on stop.';
});
// Chunk processing is serialized through a future chain so that onDone
// can wait for every in-flight chunk before flushing and closing the
// sinks; otherwise a still-running callback could write after close.
var pending = Future<void>.value();
_micSubscription = stream.listen((chunk) {
pending = pending.then((_) async {
if (session.isDisposed) return;
final result = await session.process(chunk);
rawSink.add(chunk);
if (result.audio.isNotEmpty) denoisedSink.add(result.audio);
if (mounted && result.voiceProbabilities.isNotEmpty) {
setState(() => _voiceProbability = result.voiceProbability);
}
});
}, onDone: () async {
_micSubscription = null;
await pending;
denoisedSink.add(await session.flush());
session.dispose();
await rawSink.close();
await denoisedSink.close();
if (!kIsWeb) {
/// Convert both raw PCM captures to playable WAV files.
await Noiseless.instance.pcmToWav(
pcmData: await capture.readBytes(rawPath),
outputPath: rawPath,
);
await Noiseless.instance.pcmToWav(
pcmData: await capture.readBytes(denoisedPath),
outputPath: denoisedPath,
);
}
if (mounted) {
setState(() => _micStatus = kIsWeb
? 'Recording finished.'
: 'Saved $rawPath.wav and $denoisedPath.wav');
}
});
}
Future<void> _stopRecording() async {
// Stopping the recorder closes the stream; onDone then flushes the
// session and converts the captures, so don't cancel the subscription.
await _record.stop();
setState(() {
_session = null;
_voiceProbability = 0.0;
});
}
}