关于扬声器标签如何在android中显示扬声器标签 _扬声器

一年好景君须记，最是橙黄橘绿时。这篇文章主要讲述关于扬声器标签如何在android中显示扬声器标签相关的知识，希望能为你提供帮助。
【关于扬声器标签如何在android中显示扬声器标签】请帮助我解决这个问题我差不多1周解决这个但我不能请帮助我这是我的日志结果是相同的演示这是我在RecognizeOptions中的代码

private RecognizeOptions getRecognizeOptions(InputStream captureStream) { return new RecognizeOptions.Builder() .timestamps(true) .contentType(HttpMediaType.AUDIO_MP3) .interimResults(true) .smartFormatting(true) .inactivityTimeout(2000) .speakerLabels(true) .audio(captureStream) .wordAlternativesThreshold((float) 0.01) .wordConfidence(true) .model("en-US_BroadbandModel") .build(); }

这是显示说话者和单词的代码
私有类MicrophoneRecognizeDelegate扩展BaseRecognizeCallback {

@Override public void onTranscription(SpeechRecognitionResults speechResults) { System.out.println(speechResults); SpeakerLabelsDiarization.RecoTokens recoTokens = new SpeakerLabelsDiarization.RecoTokens(); if(speechResults.getSpeakerLabels() !=null) { recoTokens.add(speechResults); String speaks = "Speaker " + speechResults.getSpeakerLabels().get(0).getSpeaker().toString(); showMicText(speaks); System.out.println(speaks); }if(speechResults.getResults() != null & & !speechResults.getResults().isEmpty()) { String text =speechResults.getResults().get(0).getAlternatives().get(0).getTranscript(); showMicText1(text); }}

关于SpeakerLabelsDiarization.RecoTokens recoTokens = new SpeakerLabelsDiarization.RecoTokens（）; 这是我在github的WatBot示例中获取此代码的代码

package com.example.ezminute.activities; import com.ibm.watson.developer_cloud.speech_to_text.v1.model.RecognizeOptions; import com.ibm.watson.developer_cloud.speech_to_text.v1.model.SpeakerLabelsResult; import com.ibm.watson.developer_cloud.speech_to_text.v1.model.SpeechRecognitionAlternative; import com.ibm.watson.developer_cloud.speech_to_text.v1.model.SpeechRecognitionResult; import com.ibm.watson.developer_cloud.speech_to_text.v1.model.SpeechRecognitionResults; import com.ibm.watson.developer_cloud.speech_to_text.v1.model.SpeechTimestamp; import com.ibm.watson.developer_cloud.speech_to_text.v1.websocket.BaseRecognizeCallback; import com.ibm.watson.developer_cloud.util.GsonSingleton; import java.util.ArrayList; import java.util.LinkedHashMap; import java.util.List; import java.util.Map; import java.util.Set; import java.util.concurrent.CountDownLatch; public class SpeakerLabelsDiarization { public static class RecoToken { private Double startTime; private Double endTime; private Long speaker; private String word; private Boolean spLabelIsFinal; /** * Instantiates a new reco token. * * @param speechTimestamp the speech timestamp */ RecoToken(SpeechTimestamp speechTimestamp) { startTime = speechTimestamp.getStartTime(); endTime = speechTimestamp.getEndTime(); word = speechTimestamp.getWord(); }/** * Instantiates a new reco token. * * @param speakerLabel the speaker label */ RecoToken(SpeakerLabelsResult speakerLabel) { startTime = Double.valueOf(speakerLabel.getFrom()); endTime = Double.valueOf(speakerLabel.getTo()); speaker = speakerLabel.getSpeaker(); }/** * Update from. * * @param speechTimestamp the speech timestamp */ public void updateFrom(SpeechTimestamp speechTimestamp) { word = speechTimestamp.getWord(); }/** * Update from. * * @param speakerLabel the speaker label */ public void updateFrom(SpeakerLabelsResult speakerLabel) { speaker = speakerLabel.getSpeaker(); } }/** * The Class Utterance. */ public static class Utterance { private Integer speaker; private String transcript; /** * Instantiates a new utterance. * * @param speakerthe speaker * @param transcript the transcript */ public Utterance(final Integer speaker, final String transcript) { this.speaker = speaker; this.transcript = transcript; } }/** * The Class RecoTokens. */ public static class RecoTokens {private Map< Double, RecoToken> recoTokenMap; /** * Instantiates a new reco tokens. */ public RecoTokens() { recoTokenMap = new LinkedHashMap< Double, RecoToken> (); }/** * Adds the. * * @param speechResults the speech results */ public void add(SpeechRecognitionResults speechResults) { if (speechResults.getResults() != null) for (int i = 0; i < speechResults.getResults().size(); i++) { SpeechRecognitionResult transcript = speechResults.getResults().get(i); if (transcript.isFinalResults()) { SpeechRecognitionAlternative speechAlternative = transcript.getAlternatives().get(0); for (int ts = 0; ts < speechAlternative.getTimestamps().size(); ts++) { SpeechTimestamp speechTimestamp = speechAlternative.getTimestamps().get(ts); add(speechTimestamp); } } } if (speechResults.getSpeakerLabels() != null) { for (int i = 0; i < speechResults.getSpeakerLabels().size(); i++) { add(speechResults.getSpeakerLabels().get(i)); } }}/** * Adds the. * * @param speechTimestamp the speech timestamp */ public void add(SpeechTimestamp speechTimestamp) { RecoToken recoToken = recoTokenMap.get(speechTimestamp.getStartTime()); if (recoToken == null) { recoToken = new RecoToken(speechTimestamp); recoTokenMap.put(speechTimestamp.getStartTime(), recoToken); } else { recoToken.updateFrom(speechTimestamp); } }/** * Adds the. * * @param speakerLabel the speaker label */ public void add(SpeakerLabelsResult speakerLabel) { RecoToken recoToken = recoTokenMap.get(speakerLabel.getFrom()); if (recoToken == null) { recoToken = new RecoToken(speakerLabel); recoTokenMap.put(Double.valueOf(speakerLabel.getFrom()), recoToken); } else { recoToken.updateFrom(speakerLabel); }if (speakerLabel.isFinalResults()) { markTokensBeforeAsFinal(speakerLabel.getFrom()); report(); cleanFinal(); } }private void markTokensBeforeAsFinal(Float from) { Map< Double, RecoToken> recoTokenMap = new LinkedHashMap< > (); for (RecoToken rt : recoTokenMap.values()) { if (rt.startTime < = from) { rt.spLabelIsFinal = true; } } }/** * Report. */ public void report() { List< Utterance> uttterances = new ArrayList< Utterance> (); Utterance currentUtterance = new Utterance(0, ""); for (RecoToken rt : recoTokenMap.values()) { if (currentUtterance.speaker != Math.toIntExact(rt.speaker)) { uttterances.add(currentUtterance); currentUtterance = new Utterance(Math.toIntExact(rt.speaker), ""); } currentUtterance.transcript = String.format("%s%s ", currentUtterance.transcript, rt.word); } uttterances.add(currentUtterance); String result = GsonSingleton.getGson().toJson(uttterances); System.out.println(result); }private void cleanFinal() { Set< Map.Entry< Double, RecoToken> > set = recoTokenMap.entrySet(); for (Map.Entry< Double, RecoToken> e : set) { if (e.getValue().spLabelIsFinal) { recoTokenMap.remove(e.getKey()); } } }}private static CountDownLatch lock = new CountDownLatch(1); }

这是我的结果

{ 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"speaker_labels": [ 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:{ 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"confidence": 0.605, 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"final": false, 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"from": 2.43, 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"speaker": 0, 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"to": 2.93 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:}, 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:{ 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"confidence": 0.667, 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"final": false, 2019-03-03 23:21:58.335 27985-28793/com.example.ezminute I/System.out:"from": 3.3, 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:"speaker": 1, 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:"to": 3.82 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:}, 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:{ 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:"confidence": 0.579, 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:"final": false, 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:"from": 4.15, 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:"speaker": 0, 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:"to": 4.69 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:} 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out:] 2019-03-03 23:21:58.336 27985-28793/com.example.ezminute I/System.out: } 2019-03-03 23:21:58.340 4354-4354/? D/io_stats: !@ 179,0 r 137002 5177089 w 48914 1018780 d 7995 317604 f 12673 12674 iot 105310 98590 th 51200 0 0 pt 0 inp 0 0 3948.151 2019-03-03 23:21:58.345 27985-28793/com.example.ezminute I/System.out: { 2019-03-03 23:21:58.345 27985-28793/com.example.ezminute I/System.out:"speaker_labels": [ 2019-03-03 23:21:58.345 27985-28793/com.example.ezminute I/System.out:{ 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out:"confidence": 0.579, 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out:"final": true, 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out:"from": 4.15, 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out:"speaker": 0, 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out:"to": 4.69 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out:} 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out:] 2019-03-03 23:21:58.346 27985-28793/com.example.ezminute I/System.out: }

这是演示中的结果

{ "speaker_labels": [ { "from": 2.43, "to": 2.93, "speaker": 0, "confidence": 0.605, "final": false }, { "from": 3.3, "to": 3.82, "speaker": 1, "confidence": 0.667, "final": false }, { "from": 4.15, "to": 4.69, "speaker": 0, "confidence": 0.579, "final": false } ] } { "speaker_labels": [ { "from": 4.15, "to": 4.69, "speaker": 0, "confidence": 0.579, "final": true } ] }

这是我的输出

Speaker0: hello hi hello

这是演示中的输出

Speaker 0: Hello. Speaker 1: Hi. Speaker 0: Hello.

请帮助我请恳求你们所有人请请帮助我:( :( :(我不知道该怎么办请尽我所能但是还不够我需要所有帮助请帮助我:( :( :(
答案有了这么小的音轨，我假设onTranscription只被调用一次。
我认为你的目的是利用SpeakerLabelsDiarization.RecoTokens来确定谁说什么和何时，但你没有使用它。您所做的只是实例化一个实例