ACRCloud provides services such as Music Recognition, Broadcast Monitoring, Custom Audio Recognition, Copyright Compliance & Data Deduplication, Live Channel Detection, and Offline Recognition etc.
Follow one of the tutorials to create a project and get your host, access_key, and access_secret.
- Recognize Music
- Recognize Custom Content
- Broadcast Monitoring for Music
- Broadcast Monitoring for Custom Content
- Detect Live & Timeshift TV Channels
- Recognize Custom Content Offline
- Recognize Live Channels and Custom Content
This demo shows how to identify music ( songs ) or detect live TV channels by recorded sound with ACRCloud SDK. Contact us if you have any questions or special requirements about the SDK: [email protected]
- The newest ACRCloud SDK which contains both ObjectC and Swift demo projects.
- If you want to recognize music, you need an Audio Recognition project. ( See How to Recognize Music )
- If you want to detect tv channels, you need a Live Channel Detection project. ( See How to Detect Live TV Channels )
- Save the information of “host”, “access_key”, “access_secret” of your project.
- Make sure you have Xcode installed.
-
ACRCloudUniversalSDKDemo demo project
-
libs all librarys of sdk (1) acrcloud-universal-sdk-(version).jar: java library (2) libACRCloudUniversalEngine.so: JNI library
-
libs-so-tinyalsa If you can not use tinyalsa of libs, you can try this share library.
-
libs-c C/C++ library.
-
If you want to use Offline Version, please use this SDK[offline_version].
[ACRCloudUniversalSDKDemo] is an Android Studio Project, you can add your "host", "access_key" and "access_secret" to recognize music or other contents.
- demo code
public class MainActivity implements IACRCloudListener {
@Override
protected void onCreate(Bundle savedInstanceState) {
this.mConfig = new ACRCloudConfig();
this.mConfig.acrcloudListener = this;
this.mConfig.context = this;
// Please create project in "http://console.acrcloud.cn/service/avr".
this.mConfig.host = "XXXXXX";
this.mConfig.accessKey = "XXXXXX";
this.mConfig.accessSecret = "XXXXXX";
// If you do not need volume callback, you set it false.
this.mConfig.recorderConfig.isVolumeCallback = true;
// By default, pre-recording is enabled and 3s audio is retained.
// If you don't need pre-recording, you can set reservedRecordBufferMS = 0
this.mConfig.recorderConfig.reservedRecordBufferMS = 3000;
this.mClient = new ACRCloudClient();
this.initState = this.mClient.initWithConfig(this.mConfig);
}
public void start() {
if (!this.initState) {
Toast.makeText(this, "init error", Toast.LENGTH_SHORT).show();
return;
}
if (!mProcessing) {
mProcessing = true;
mVolume.setText("");
mResult.setText("");
// startRecognize: turn on the recording and identify it.
if (this.mClient == null || !this.mClient.startRecognize()) {
mProcessing = false;
mResult.setText("start error!");
}
startTime = System.currentTimeMillis();
}
}
public void cancel() {
if (mProcessing && this.mClient != null) {
// cancel: cancel the current identify session.
this.mClient.cancel();
}
this.reset();
}
@Override
public void onVolumeChanged(double volume) {
long time = (System.currentTimeMillis() - startTime) / 1000;
mVolume.setText(getResources().getString(R.string.volume) + volume + "\n\nTime: " + time + " s");
}
@Override
protected void onDestroy() {
super.onDestroy();
Log.e("MainActivity", "release");
if (this.mClient != null) {
this.mClient.release();
this.initState = false;
this.mClient = null;
}
}
// result callback
@Override
public void onResult(ACRCloudResult results) {
String result = results.getResult();
String tres = "\n";
try {
JSONObject j = new JSONObject(result);
JSONObject j1 = j.getJSONObject("status");
int j2 = j1.getInt("code");
if(j2 == 0){
JSONObject metadata = j.getJSONObject("metadata");
//
if (metadata.has("music")) {
JSONArray musics = metadata.getJSONArray("music");
for(int i=0; i<musics.length(); i++) {
JSONObject tt = (JSONObject) musics.get(i);
String title = tt.getString("title");
JSONArray artistt = tt.getJSONArray("artists");
JSONObject art = (JSONObject) artistt.get(0);
String artist = art.getString("name");
tres = tres + (i+1) + ". Title: " + title + " Artist: " + artist + "\n";
}
}
tres = tres + "\n\n" + result;
}else{
tres = result;
}
} catch (JSONException e) {
e.printStackTrace();
}
}
}if you recognize audio data or get the audio fingerprint, the audio format should be RIFF (little-endian) data, WAVE audio, Microsoft PCM, 16-bit, you also can use the resample function to convert the audio data to what we need.
public ACRCloudClient() {
/*
create audio fingerprint from audio buffer.
buffer: audio buffer (format: RIFF (little-endian) data, WAVE audio, Microsoft PCM, 16-bit)
bufferLen: the lenght of buffer
sampleRate: sample rate of buffer
nChannels: channel number of buffer
*/
public static byte[] createClientFingerprint(byte[] buffer, int bufferLen, int sampleRate, int nChannels);
/*
create humming fingerprint from audio buffer.
buffer: audio buffer (format: RIFF (little-endian) data, WAVE audio, Microsoft PCM, 16-bit)
bufferLen: the lenght of buffer
sampleRate: sample rate of buffer
nChannels: channel number of buffer
*/
public static byte[] createHummingClientFingerprint(byte[] buffer, int bufferLen, int sampleRate, int nChannels)
/*
recognize audio buffer and return the final result.
buffer: audio buffer (format: RIFF (little-endian) data, WAVE audio, Microsoft PCM, 16-bit)
bufferLen: the lenght of buffer
sampleRate: sample rate of buffer
nChannels: channel number of buffer
*/
public String recognize(byte[] buffer, int bufferLen, int sampleRate, int nChannels);
/*
recognize fingerprint buffer and return the final result.
buffer: acrcloud fingerprint buffer
bufferLen: the lenght of buffer
recType: AUDIO (audio fingerprint), HUMMING (humming fingerprint)
userParams: Some user-defined parameters.
*/
public String recognizeFingerprint(byte[] buffer, int bufferLen, ACRCloudConfig.RecognizerType recType, Map<String, String> userParams)
}
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