diff --git a/lib/talk/starChart/views/native/talk_view_native_decode_logic.dart b/lib/talk/starChart/views/native/talk_view_native_decode_logic.dart index c5da8f64..42df4674 100644 --- a/lib/talk/starChart/views/native/talk_view_native_decode_logic.dart +++ b/lib/talk/starChart/views/native/talk_view_native_decode_logic.dart @@ -1,6 +1,5 @@ import 'dart:async'; import 'dart:io'; -import 'dart:math'; import 'dart:ui' as ui; import 'package:flutter/foundation.dart'; @@ -89,44 +88,6 @@ class TalkViewNativeDecodeLogic extends BaseGetXController { bool _waitingForIFrame = false; int? lastDecodedIFrameSeq; - - // 新增：缓冲区满载处理相关变量 - int _consecutiveFullBufferCount = 0; // 连续缓冲区满载次数 - int _maxConsecutiveFullBufferCount = 3; // 最大连续满载次数，超过此值将采取措施，降低为3以更快响应 - bool _isAdjustingForBufferFull = false; // 是否正在为缓冲区满载调整 - - // 新增：记录最近一次视频画面开始渲染的时间 - DateTime? _lastVideoRenderTime; - - // 新增：自适应缓冲区大小相关变量 - int _currentBufferSize = 3; // 当前缓冲区大小 - int _lastBufferSizeAdjustmentTime = 0; // 上次缓冲区大小调整时间 - int _bufferSizeAdjustmentCooldown = 2000; // 缓冲区大小调整冷却时间(毫秒) - - // 新增：网络状况评估相关变量 - int _lastNetworkQualityCheckTime = 0; // 上次网络质量检查时间 - int _framesProcessedSinceLastCheck = 0; // 自上次检查以来处理的帧数 - int _framesDroppedSinceLastCheck = 0; // 自上次检查以来丢弃的帧数 - double _currentNetworkQualityScore = 1.0; // 当前网络质量评分(0.0-1.0, 1.0为最佳) - - // 网络质量评估相关变量 - List _frameReceiveTimes = []; // 存储帧接收时间戳 - List _frameSeqList = []; // 存储帧序列号用于计算丢包 - int _totalFramesReceived = 0; // 总接收帧数 - int _lostFrames = 0; // 丢失帧数 - int _lastFrameSeqNum = -1; // 上一帧序列号 - DateTime? _testStartTime; // 测试开始时间 - Timer? _networkQualityTestTimer; // 网络质量评估定时器 - - // 包、帧和关键帧统计变量 - int _totalPacketsReceived = 0; // 总接收包数 - int _totalFramesReceivedCount = 0; // 总接收帧数 - int _iFramesReceived = 0; // 接收到的关键帧数（I帧） - int _pFramesReceived = 0; // 接收到的预测帧数（P帧） - int _processedFrames = 0; // 已处理的帧数 - int _droppedFrames = 0; // 丢弃的帧数 - int _framesInBuffer = 0; // 进入缓冲区的帧数 - int _bufferSize = 0; // 缓冲区大小 // 初始化视频解码器 Future _initVideoDecoder() async { @@ -167,20 +128,16 @@ class TalkViewNativeDecodeLogic extends BaseGetXController { height: height, codecType: 'h264', ); + AppLog.log('解码器配置的宽高为：${config.width}x${config.height}'); // 初始化解码器并获取textureId final textureId = await VideoDecodePlugin.initDecoder(config); if (textureId != null) { Future.microtask(() => state.textureId.value = textureId); + AppLog.log('视频解码器初始化成功：textureId=$textureId'); VideoDecodePlugin.setOnFrameRenderedListener((textureId) { AppLog.log('已经开始渲染======='); - // 记录视频开始渲染时间 - _lastVideoRenderTime = DateTime.now(); // 只有真正渲染出首帧时才关闭loading - if (state.isLoading.value) { - Future.microtask(() => state.isLoading.value = false); - } else { - AppLog.log('视频已在渲染状态，保持当前状态'); - } + Future.microtask(() => state.isLoading.value = false); }); } else { AppLog.log('视频解码器初始化失败'); @@ -286,110 +243,6 @@ class TalkViewNativeDecodeLogic extends BaseGetXController { } _lastFrameSeq = frameSeq; } - - // 记录帧接收 - recordFrameReceived(frameSeq, frameType); - - // 优化：对于低延迟场景，仅保留最新的帧以减少延迟 - bool isVideoRendering = state.textureId.value != null && - (state.isLoading.isFalse || _lastVideoRenderTime != null); - - if (isVideoRendering) { - // 如果视频已经开始渲染，优先保留最新的I帧和其关联的P帧 - if (frameType == TalkDataH264Frame_FrameTypeE.I) { - // 对于新的I帧，移除旧的I帧和其关联的P帧 - _removeOldFramesForIFrame(frameSeq); - - // 当接收到新I帧时，动态调整缓冲区大小以适应当前网络状况 - _adjustBufferSizeForNetworkCondition(); - } else { - // 对于P帧，确保它关联到有效的I帧 - _cleanOldPFrameForCurrentIFrame(frameSeq, frameSeqI); - } - } else { - // 视频未渲染时，按原有逻辑处理 - if (state.h264FrameBuffer.length >= state.maxFrameBufferSize) { - // 检查是否已经有视频开始渲染 - bool isVideoRendering = state.textureId.value != null && - (state.isLoading.isFalse || _lastVideoRenderTime != null); - - // 如果视频已经在渲染，我们采用更智能的缓冲区清理策略 - if (isVideoRendering) { - _consecutiveFullBufferCount++; - - // 当连续多次缓冲区满载时，采取特殊处理策略 - if (_consecutiveFullBufferCount >= _maxConsecutiveFullBufferCount) { - - // 计算当前网络质量并调整缓冲区大小 - _evaluateCurrentNetworkQuality(); - - // 查找所有非关键帧（非I帧）进行清理 - final framesToRemove = []; - for (int i = 0; i < state.h264FrameBuffer.length; i++) { - if (state.h264FrameBuffer[i]['frameType'] != TalkDataH264Frame_FrameTypeE.I) { - framesToRemove.add(i); - } - } - - // 从后往前删除，避免索引变化问题 - framesToRemove.reversed.forEach((index) { - state.h264FrameBuffer.removeAt(index); - recordDroppedFrame(); - }); - - // 如果仍有过多帧，保留最新的I帧及相关的P帧 - if (state.h264FrameBuffer.length > _currentBufferSize ~/ 2) { - // 找到最后一个I帧的位置 - int lastIFrameIndex = -1; - for (int i = state.h264FrameBuffer.length - 1; i >= 0; i--) { - if (state.h264FrameBuffer[i]['frameType'] == TalkDataH264Frame_FrameTypeE.I) { - lastIFrameIndex = i; - break; - } - } - - // 如果找到I帧，只保留I帧及其后续的P帧，删除前面的帧 - if (lastIFrameIndex > 0) { - for (int i = 0; i < lastIFrameIndex; i++) { - state.h264FrameBuffer.removeAt(0); - recordDroppedFrame(); - } - } else { - // 如果没有I帧，只保留最新的半数帧 - while (state.h264FrameBuffer.length > _currentBufferSize ~/ 2) { - state.h264FrameBuffer.removeAt(0); - recordDroppedFrame(); - } - } - } - - _consecutiveFullBufferCount = 0; // 重置计数 - _isAdjustingForBufferFull = false; - } else { - // 非连续满载情况下，采用保守清理策略 - int pbIndex = state.h264FrameBuffer.indexWhere((f) => f['frameType'] == TalkDataH264Frame_FrameTypeE.P); - if (pbIndex != -1) { - state.h264FrameBuffer.removeAt(pbIndex); - recordDroppedFrame(); // 记录丢弃的帧 - } else { - state.h264FrameBuffer.removeAt(0); - recordDroppedFrame(); // 记录丢弃的帧 - } - } - } else { - // 视频尚未渲染时，使用原始策略 - int pbIndex = state.h264FrameBuffer.indexWhere((f) => f['frameType'] == TalkDataH264Frame_FrameTypeE.P); - if (pbIndex != -1) { - state.h264FrameBuffer.removeAt(pbIndex); - recordDroppedFrame(); // 记录丢弃的帧 - } else { - state.h264FrameBuffer.removeAt(0); - recordDroppedFrame(); // 记录丢弃的帧 - } - } - } - } - // 创建包含帧数据和类型的Map final Map frameMap = { 'frameData': frameData, @@ -400,169 +253,18 @@ class TalkViewNativeDecodeLogic extends BaseGetXController { 'scpMessage': scpMessage, }; + // 如果缓冲区超出最大大小，优先丢弃P/B帧 + while (state.h264FrameBuffer.length >= state.maxFrameBufferSize) { + int pbIndex = state.h264FrameBuffer.indexWhere((f) => f['frameType'] == TalkDataH264Frame_FrameTypeE.P); + if (pbIndex != -1) { + state.h264FrameBuffer.removeAt(pbIndex); + } else { + state.h264FrameBuffer.removeAt(0); + } + } + // 将帧添加到缓冲区 state.h264FrameBuffer.add(frameMap); - recordFrameInBuffer(); // 记录进入缓冲区的帧 - - // 重置连续满载计数（只有在缓冲区未满时） - if (state.h264FrameBuffer.length < state.maxFrameBufferSize) { - _consecutiveFullBufferCount = 0; - } - } - - // 辅助方法：移除旧的I帧和其关联的P帧 - void _removeOldFramesForIFrame(int newIFrameSeq) { - // 保留最新的I帧和相关的P帧，移除旧的I帧和其关联的P帧 - final List> framesToKeep = []; - - // 分别收集I帧和P帧 - final List> iFrames = []; - final List> pFrames = []; - - for (var frame in state.h264FrameBuffer) { - if (frame['frameType'] == TalkDataH264Frame_FrameTypeE.I) { - iFrames.add(frame); - } else { - pFrames.add(frame); - } - } - - // 按frameSeq排序I帧 - iFrames.sort((a, b) => (a['frameSeq'] as int).compareTo(b['frameSeq'] as int)); - - // 保留最新的I帧（即当前正在添加的新I帧） - final int maxIFramesToKeep = 2; // 保留最多2个I帧以确保平滑过渡 - final int startIdx = max(0, iFrames.length - maxIFramesToKeep); - - for (int i = startIdx; i < iFrames.length; i++) { - framesToKeep.add(iFrames[i]); - } - - // 对于P帧，只保留与保留的I帧关联的P帧 - for (var pFrame in pFrames) { - int refIFrameSeq = pFrame['frameSeqI']; - bool shouldKeep = false; - - // 检查该P帧引用的I帧是否被保留 - for (var keptIFrame in framesToKeep) { - if (keptIFrame['frameType'] == TalkDataH264Frame_FrameTypeE.I && - keptIFrame['frameSeq'] == refIFrameSeq) { - shouldKeep = true; - break; - } - } - - if (shouldKeep) { - framesToKeep.add(pFrame); - } else { - recordDroppedFrame(); // 记录丢弃的帧 - } - } - - // 用筛选后的帧替换原缓冲区 - state.h264FrameBuffer.clear(); - state.h264FrameBuffer.addAll(framesToKeep); - } - - // 辅助方法：清理当前I帧的旧P帧 - void _cleanOldPFrameForCurrentIFrame(int frameSeq, int frameSeqI) { - // 为当前I帧保留最新的P帧，移除过旧的P帧 - final List> framesToKeep = []; - final List> framesToRemove = []; - - // 首先添加所有非当前I帧引用的帧 - for (var frame in state.h264FrameBuffer) { - if (frame['frameSeqI'] != frameSeqI || frame['frameType'] == TalkDataH264Frame_FrameTypeE.I) { - framesToKeep.add(frame); - } - } - - // 收集当前I帧引用的P帧 - final List> currentIFramePFrames = []; - for (var frame in state.h264FrameBuffer) { - if (frame['frameSeqI'] == frameSeqI && frame['frameType'] == TalkDataH264Frame_FrameTypeE.P) { - currentIFramePFrames.add(frame); - } - } - - // 按frameSeq排序P帧 - currentIFramePFrames.sort((a, b) => (a['frameSeq'] as int).compareTo(b['frameSeq'] as int)); - - // 保留最新的P帧（例如保留最近的5个） - final int maxPFramesToKeep = 5; - final int startIdx = max(0, currentIFramePFrames.length - maxPFramesToKeep); - - for (int i = startIdx; i < currentIFramePFrames.length; i++) { - framesToKeep.add(currentIFramePFrames[i]); - } - - // 记录被丢弃的P帧 - for (int i = 0; i < startIdx; i++) { - recordDroppedFrame(); - } - - // 用筛选后的帧替换原缓冲区 - state.h264FrameBuffer.clear(); - state.h264FrameBuffer.addAll(framesToKeep); - } - - /// 根据网络状况动态调整缓冲区大小 - void _adjustBufferSizeForNetworkCondition() { - // 获取当前时间 - int currentTime = DateTime.now().millisecondsSinceEpoch; - - // 检查是否在冷却期内 - if (currentTime - _lastBufferSizeAdjustmentTime < _bufferSizeAdjustmentCooldown) { - return; - } - - // 更新最后调整时间 - _lastBufferSizeAdjustmentTime = currentTime; - - // 根据当前网络质量评分调整缓冲区大小 - if (_currentNetworkQualityScore > 0.7) { - // 网络状况良好，使用较小缓冲区以降低延迟 - _currentBufferSize = state.adaptiveBufferSizeMin; - } else if (_currentNetworkQualityScore > 0.4) { - // 网络状况一般，使用中等缓冲区以平衡延迟和稳定性 - _currentBufferSize = (state.adaptiveBufferSizeMin + state.adaptiveBufferSizeMax) ~/ 2; - } else { - // 网络状况较差，使用较大缓冲区以减少卡顿 - _currentBufferSize = state.adaptiveBufferSizeMax; - } - - AppLog.log('根据网络状况调整缓冲区大小: ${_currentBufferSize} (当前网络质量评分: ${_currentNetworkQualityScore.toStringAsFixed(2)})'); - } - - /// 评估当前网络质量 - void _evaluateCurrentNetworkQuality() { - int currentTime = DateTime.now().millisecondsSinceEpoch; - - // 检查是否到了网络质量检查间隔 - if (currentTime - _lastNetworkQualityCheckTime < state.networkQualityCheckIntervalMs) { - return; - } - - _lastNetworkQualityCheckTime = currentTime; - - // 计算丢帧率 - double dropRate = 0.0; - int totalProcessed = _framesProcessedSinceLastCheck + _framesDroppedSinceLastCheck; - if (totalProcessed > 0) { - dropRate = _framesDroppedSinceLastCheck / totalProcessed; - } - - // 更新网络质量评分 (基于丢帧率，评分越高网络越好) - _currentNetworkQualityScore = 1.0 - dropRate; - if (_currentNetworkQualityScore < 0) { - _currentNetworkQualityScore = 0.0; - } - - AppLog.log('网络质量评估: 丢帧率=${dropRate.toStringAsFixed(2)}, 网络质量评分=${_currentNetworkQualityScore.toStringAsFixed(2)}'); - - // 重置计数器 - _framesProcessedSinceLastCheck = 0; - _framesDroppedSinceLastCheck = 0; } /// 启动帧处理定时器 @@ -1282,215 +984,4 @@ class TalkViewNativeDecodeLogic extends BaseGetXController { break; } } - - /// 记录帧接收 - void recordFrameReceived(int frameSeq, TalkDataH264Frame_FrameTypeE frameType) { - _totalFramesReceivedCount++; - - // 根据帧类型更新计数 - if (frameType == TalkDataH264Frame_FrameTypeE.I) { - _iFramesReceived++; - } else if (frameType == TalkDataH264Frame_FrameTypeE.P) { - _pFramesReceived++; - } - - // 计算丢包 - 修复：添加合理的帧序号差异限制，避免异常高的丢包计算 - if (_lastFrameSeqNum != -1) { - if (frameSeq > _lastFrameSeqNum + 1) { - // 计算中间缺失的帧数，但限制最大丢失数量以防止异常值 - int gap = frameSeq - _lastFrameSeqNum - 1; - // 设置最大允许的帧间隙，防止因为帧序列号回绕或异常导致的错误计算 - int maxAllowedGap = 50; // 可根据实际情况调整 - if (gap > maxAllowedGap) { - // 如果间隙过大，可能是帧序列号回绕或其他异常，不计入丢失帧 - AppLog.log('检测到帧序列号异常跳跃: gap=$gap, 当前frameSeq=$frameSeq, 上一个frameSeq=$_lastFrameSeqNum'); - } else { - _lostFrames += gap; - } - } else if (frameSeq <= _lastFrameSeqNum && frameSeq < 100 && _lastFrameSeqNum > 1000) { - // 检测到帧序列号回绕（从大数值回到小数值），重置参考值 - // 这种情况通常发生在新的视频流开始或流重启 - AppLog.log('检测到帧序列号回绕: 从 $_lastFrameSeqNum 回到 $frameSeq'); - _lastFrameSeqNum = frameSeq; - } - } - _lastFrameSeqNum = frameSeq; - - // 记录接收时间 - _frameReceiveTimes.add(DateTime.now().millisecondsSinceEpoch); - _frameSeqList.add(frameSeq); - - // 只保留最近的100个帧记录 - if (_frameReceiveTimes.length > 100) { - _frameReceiveTimes.removeAt(0); - _frameSeqList.removeAt(0); - } - } - - /// 记录包接收 - void recordPacketReceived() { - _totalPacketsReceived++; - } - - /// 记录已处理的帧 - void recordProcessedFrame() { - _processedFrames++; - _framesProcessedSinceLastCheck++; // 用于网络质量评估 - } - - /// 记录丢弃的帧 - void recordDroppedFrame() { - _droppedFrames++; - _framesDroppedSinceLastCheck++; // 用于网络质量评估 - } - - /// 记录进入缓冲区的帧 - void recordFrameInBuffer() { - _framesInBuffer++; - } - - /// 开始网络质量评估 - void startNetworkQualityAssessment() { - resetNetworkQualityAssessmentVariables(); - _testStartTime = DateTime.now(); - - // 初始化统计计数器 - _bufferSize = state.maxFrameBufferSize; // 记录缓冲区大小 - - // 启动定时器每秒评估一次网络质量 - _networkQualityTestTimer = Timer.periodic(const Duration(seconds: 1), (timer) { - _evaluateNetworkQuality(); - }); - } - - /// 停止网络质量评估 - void stopNetworkQualityAssessment() { - _networkQualityTestTimer?.cancel(); - _networkQualityTestTimer = null; - } - - /// 重置网络质量评估变量 - void resetNetworkQualityAssessmentVariables() { - _totalFramesReceived = 0; - _lostFrames = 0; - _lastFrameSeqNum = -1; - _frameReceiveTimes.clear(); - _frameSeqList.clear(); - _testStartTime = null; - - // 重置统计计数器 - _totalPacketsReceived = 0; - _totalFramesReceivedCount = 0; - _iFramesReceived = 0; - _pFramesReceived = 0; - _processedFrames = 0; - _droppedFrames = 0; - _framesInBuffer = 0; - } - - /// 评估网络质量 - void _evaluateNetworkQuality() { - if (_testStartTime == null) return; - - final elapsed = DateTime.now().difference(_testStartTime!).inSeconds; - if (elapsed == 0) return; - - // 计算丢包率 - 确保丢包率不会超过100% - double lossRate = 0.0; - if (_totalFramesReceivedCount > 0) { - lossRate = (_lostFrames / _totalFramesReceivedCount) * 100; - // 限制丢包率不超过100% - if (lossRate > 100.0) { - lossRate = 100.0; - } - } - - - // 计算抖动 (基于相邻帧的时间间隔变化) - if (_frameReceiveTimes.length >= 2) { - List intervals = []; - for (int i = 1; i < _frameReceiveTimes.length; i++) { - intervals.add(_frameReceiveTimes[i] - _frameReceiveTimes[i-1]); - } - } - - // 根据网络质量动态调整缓冲区大小 - _adjustBufferSizeBasedOnNetworkQuality(); - } - - /// 根据丢包率、帧率和抖动确定网络质量等级 - String _getNetworkQualityLevel(double lossRate, double frameRate, double jitter) { - if (lossRate < 1.0 && frameRate > 15.0 && jitter < 50.0) { - return "优秀"; - } else if (lossRate < 3.0 && frameRate > 10.0 && jitter < 100.0) { - return "良好"; - } else if (lossRate < 5.0 && frameRate > 5.0 && jitter < 200.0) { - return "一般"; - } else { - return "较差"; - } - } - - /// 预测视频卡顿概率 - String _predictStutterProbability(double lossRate, double frameRate, double jitter) { - if (lossRate < 2.0 && frameRate > 10.0 && jitter < 100.0) { - return "低风险 - 视频流畅"; - } else if (lossRate <= 5.0 && frameRate >= 5.0 && jitter <= 200.0) { - return "中风险 - 可能轻微卡顿"; - } else { - return "高风险 - 可能严重卡顿"; - } - } - - /// 根据网络质量动态调整缓冲区大小 - void _adjustBufferSizeBasedOnNetworkQuality() { - if (_testStartTime == null) return; - - final elapsed = DateTime.now().difference(_testStartTime!).inSeconds; - if (elapsed == 0) return; - - // 计算丢包率 - double lossRate = 0.0; - if (_totalFramesReceivedCount > 0) { - lossRate = (_lostFrames / _totalFramesReceivedCount) * 100; - if (lossRate > 100.0) lossRate = 100.0; - } - - // 计算平均接收帧率 - final avgFrameRate = _totalFramesReceivedCount / elapsed; - - // 计算抖动 - double jitter = 0.0; - if (_frameReceiveTimes.length >= 2) { - List intervals = []; - for (int i = 1; i < _frameReceiveTimes.length; i++) { - intervals.add(_frameReceiveTimes[i] - _frameReceiveTimes[i-1]); - } - - if (intervals.length > 1) { - double mean = intervals.reduce((a, b) => a + b) / intervals.length; - double variance = 0.0; - for (int interval in intervals) { - variance += pow(interval - mean, 2).toDouble(); - } - variance /= intervals.length; - jitter = sqrt(variance); - } - } - - // 根据网络质量调整缓冲区大小 - if (lossRate < 2.0 && avgFrameRate > 15.0 && jitter < 50.0) { - // 网络质量优秀 - 使用最小缓冲区以降低延迟 - _currentBufferSize = state.adaptiveBufferSizeMin; - } else if (lossRate < 5.0 && avgFrameRate > 10.0 && jitter < 100.0) { - // 网络质量良好 - 使用中等偏小缓冲区 - _currentBufferSize = (state.adaptiveBufferSizeMin + state.adaptiveBufferSizeMax) ~/ 3; - } else if (lossRate < 10.0 && avgFrameRate > 5.0 && jitter < 200.0) { - // 网络质量一般 - 使用中等偏大缓冲区 - _currentBufferSize = ((state.adaptiveBufferSizeMin + state.adaptiveBufferSizeMax) ~/ 2 + state.adaptiveBufferSizeMax) ~/ 2; - } else { - // 网络质量差 - 使用最大缓冲区以减少卡顿 - _currentBufferSize = state.adaptiveBufferSizeMax; - } - } } \ No newline at end of file diff --git a/lib/talk/starChart/views/talkView/talk_view_logic.dart b/lib/talk/starChart/views/talkView/talk_view_logic.dart index c4000dbb..68dc0ea7 100644 --- a/lib/talk/starChart/views/talkView/talk_view_logic.dart +++ b/lib/talk/starChart/views/talkView/talk_view_logic.dart @@ -646,7 +646,15 @@ class TalkViewLogic extends BaseGetXController { // 音频帧处理 Future _onFrame(List frame) async { - final applyGain = _applyGain(frame, 1.6); + // 根据平台调整增益，避免iOS端发送音频过强导致锁端接收音量相对变小 + double gainFactor = 1.0; // 默认无增益 + if (Platform.isAndroid) { + gainFactor = 1.2; // Android端适当增强 + } else if (Platform.isIOS) { + gainFactor = 0.8; // iOS端降低增益，避免锁端接收音量过大而使回传音量显得过小 + } + + final applyGain = _applyGain(frame, gainFactor); // 编码为G711数据 List encodedData = G711Tool.encode(applyGain, 0); // 0表示A-law diff --git a/lib/talk/starChart/webView/h264_web_logic.dart b/lib/talk/starChart/webView/h264_web_logic.dart index b7307383..2fdc7a71 100644 --- a/lib/talk/starChart/webView/h264_web_logic.dart +++ b/lib/talk/starChart/webView/h264_web_logic.dart @@ -445,8 +445,15 @@ class H264WebViewLogic extends BaseGetXController { return; } - // 首先应用固定增益提升基础音量 - List amplifiedFrame = _applyGain(frame, 1.8); + // 根据平台调整增益，避免iOS端发送音频过强导致锁端接收音量相对变小 + double gainFactor = 1.0; // 默认无增益 + if (Platform.isAndroid) { + gainFactor = 1.2; // Android端适当增强 + } else if (Platform.isIOS) { + gainFactor = 0.8; // iOS端降低增益，避免锁端接收音量过大而使回传音量显得过小 + } + + List amplifiedFrame = _applyGain(frame, gainFactor); // 编码为G711数据 List encodedData = G711Tool.encode(amplifiedFrame, 0); // 0表示A-law _bufferedAudioFrames.addAll(encodedData);