1、前言
在这之前，我相信大家都知道CIDetector能够做到人脸检测这一功能吧，注意是检测并不是识别，如果要做到识别的话也即区别人脸的异同就要用到OpenCV了，说了这么多就是要引出苹果在今年新推出的Speech新框架，能够做到语音识别~~~额，其实只是能够做到把一段语音转化成文字。
2、框架主要类
#import
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#import
3、怎么用
#import "NFSpeechViewController.h"
#import
@interface NFSpeechViewController ()
@property (nonatomic ,strong) SFSpeechRecognitionTask *recognitionTask;
@property (nonatomic ,strong) SFSpeechRecognizer *speechRecognizer;
@property (nonatomic ,strong) UILabel *recognizerLabel;
@end
@implementation NFSpeechViewController
- (void)dealloc {
[self.recognitionTask cancel];
self.recognitionTask = nil;
}
- (void)viewDidLoad {
[super viewDidLoad];
// Do any additional setup after loading the view.
self.view.backgroundColor = [UIColor whiteColor];
//0.0获取权限
//0.1在info.plist里面配置
/*
typedef NS_ENUM(NSInteger, SFSpeechRecognizerAuthorizationStatus) {
SFSpeechRecognizerAuthorizationStatusNotDetermined,
SFSpeechRecognizerAuthorizationStatusDenied,
SFSpeechRecognizerAuthorizationStatusRestricted,
SFSpeechRecognizerAuthorizationStatusAuthorized,
};
*/
[SFSpeechRecognizer requestAuthorization:^(SFSpeechRecognizerAuthorizationStatus status) {
switch (status) {
case SFSpeechRecognizerAuthorizationStatusNotDetermined:
NSLog(@"NotDetermined");
break;
case SFSpeechRecognizerAuthorizationStatusDenied:
NSLog(@"Denied");
break;
case SFSpeechRecognizerAuthorizationStatusRestricted:
NSLog(@"Restricted");
break;
case SFSpeechRecognizerAuthorizationStatusAuthorized:
NSLog(@"Authorized");
break;
default:
break;
}
}];
//1.创建SFSpeechRecognizer识别实例
self.speechRecognizer = [[SFSpeechRecognizer alloc] initWithLocale:[[NSLocale alloc] initWithLocaleIdentifier:@"zh_CN"]];
//2.创建识别请求
SFSpeechURLRecognitionRequest *request = [[SFSpeechURLRecognitionRequest alloc] initWithURL:[NSURL fileURLWithPath:[[NSBundle mainBundle] pathForResource:@"游子吟.mp3" ofType:nil]]];
//3.开始识别任务
self.recognitionTask = [self recognitionTaskWithRequest1:request];
}
- (SFSpeechRecognitionTask *)recognitionTaskWithRequest0:(SFSpeechURLRecognitionRequest *)request{
return [self.speechRecognizer recognitionTaskWithRequest:request resultHandler:^(SFSpeechRecognitionResult * _Nullable result, NSError * _Nullable error) {
if (!error) {
NSLog(@"语音识别解析正确--%@", result.bestTranscription.formattedString);
}else {
NSLog(@"语音识别解析失败--%@", error);
}
}];
}
- (SFSpeechRecognitionTask *)recognitionTaskWithRequest1:(SFSpeechURLRecognitionRequest *)request{
return [self.speechRecognizer recognitionTaskWithRequest:request delegate:self];
}
- (void)didReceiveMemoryWarning {
[super didReceiveMemoryWarning];
// Dispose of any resources that can be recreated.
}
#pragma mark- SFSpeechRecognitionTaskDelegate
// Called when the task first detects speech in the source audio
- (void)speechRecognitionDidDetectSpeech:(SFSpeechRecognitionTask *)task {
}
// Called for all recognitions, including non-final hypothesis
- (void)speechRecognitionTask:(SFSpeechRecognitionTask *)task didHypothesizeTranscription:(SFTranscription *)transcription {
}
// Called only for final recognitions of utterances. No more about the utterance will be reported
- (void)speechRecognitionTask:(SFSpeechRecognitionTask *)task didFinishRecognition:(SFSpeechRecognitionResult *)recognitionResult {
NSDictionary *attributes = @{
NSFontAttributeName:[UIFont systemFontOfSize:18],
};
CGRect rect = [recognitionResult.bestTranscription.formattedString boundingRectWithSize:CGSizeMake(self.view.bounds.size.width - 100, CGFLOAT_MAX) options:NSStringDrawingUsesLineFragmentOrigin attributes:attributes context:nil];
self.recognizerLabel.text = recognitionResult.bestTranscription.formattedString;
self.recognizerLabel.frame = CGRectMake(50, 120, rect.size.width, rect.size.height);
}
// Called when the task is no longer accepting new audio but may be finishing final processing
- (void)speechRecognitionTaskFinishedReadingAudio:(SFSpeechRecognitionTask *)task {
}
// Called when the task has been cancelled, either by client app, the user, or the system
- (void)speechRecognitionTaskWasCancelled:(SFSpeechRecognitionTask *)task {
}
// Called when recognition of all requested utterances is finished.
// If successfully is false, the error property of the task will contain error information
- (void)speechRecognitionTask:(SFSpeechRecognitionTask *)task didFinishSuccessfully:(BOOL)successfully {
if (successfully) {
NSLog(@"全部解析完毕");
}
}
#pragma mark- getter
- (UILabel *)recognizerLabel {
if (!_recognizerLabel) {
_recognizerLabel = [[UILabel alloc] initWithFrame:CGRectMake(50, 120, self.view.bounds.size.width - 100, 100)];
_recognizerLabel.numberOfLines = 0;
_recognizerLabel.font = [UIFont preferredFontForTextStyle:UIFontTextStyleBody];
_recognizerLabel.adjustsFontForContentSizeCategory = YES;
_recognizerLabel.textColor = [UIColor orangeColor];
[self.view addSubview:_recognizerLabel];
}
return _recognizerLabel;
}
@end
上面一坨代码就是新框架的一个简单的不能在简单的例子，你可以复制代码试一试，你可以创建一个和我同名的类，这样直接拷贝上面代码就可以了。
4、步骤解析
首先、我们要做的就是获取权限，苹果对权限安全这一面是做了很大的改进的，通过iOS10关于权限的新特性不难看出来。
权限.png
通过上图，我们需要在info.plist配置文件中添加对应的权限，这次iOS10更新之后我们终于不需要像以前那样Copy、Paste了，因为有输入提示了~~~~开心
其次、接下来就是创建SFSpeechRecognizer实例了
这里需要提一下的就是本地化语言的坑，如果你不知道
[[NSLocale alloc] initWithLocaleIdentifier:@"zh_CN"]
@"zh_CN"字符串的话，你可以使用
[SFSpeechRecognizer supportedLocales];
进行查看，选取合适的使用，这里@"zh"在iOS9之后就不是简体中文了，而是TW繁体中文，简体中文就要使用@"zh_CN"了!!!!
for (NSLocale *lacal in [SFSpeechRecognizer supportedLocales].allObjects) {
NSLog(@"countryCode:%@ languageCode:%@ ", lacal.countryCode, lacal.languageCode);
}
第2步 创建识别请求，就简单了直接把要识别的语音url传进去就行了(这里使用的是本地资源)
第3步中开始识别任务我用的是delegate的方式在代理方法中去做处理，苹果还提供了block方式。对应的代码：
- (SFSpeechRecognitionTask *)recognitionTaskWithRequest0:(SFSpeechURLRecognitionRequest *)request{
return [self.speechRecognizer recognitionTaskWithRequest:request resultHandler:^(SFSpeechRecognitionResult * _Nullable result, NSError * _Nullable error) {
if (!error) {
NSLog(@"语音识别解析正确--%@", result.bestTranscription.formattedString);
}else {
NSLog(@"语音识别解析失败--%@", error);
}
}];
}
- (SFSpeechRecognitionTask *)recognitionTaskWithRequest1:(SFSpeechURLRecognitionRequest *)request{
return [self.speechRecognizer recognitionTaskWithRequest:request delegate:self];
}
怎么识别我已经在代码新的很清楚了，按照步骤来就可以了，注释也很清楚。
好啦~~
赶紧试试去吧~~