win8安装Web Recorder and Player弹出Internal Error 2503/2502错误

如题

解决办法:

1.Ctrl+Alt+Delete打开任务管理器;

2.任务管理器--详细信息--右键“explorer.exe”结束任务(应该会蓝屏或者其他情况,不要紧);

3.任务管理器--文件--运行新任务--在横框中输入explorer.exe,下一步,我们勾选“以系统管理权限创建此任务”;

4.双击Web Recorder and Player程序,按正常流程安装,错误未弹出。

 

 

function audio_pitch_correction % 创建主GUI界面 fig = uifigure('Name', '音频音准矫正系统', 'Position', [100 100 900 700]); % 创建音频选择区域 uilabel(fig, 'Position', [50 680 300 20], 'Text', '待矫正音频来源:', 'FontWeight', 'bold'); % 创建录音选项按钮组 source_btn_group = uibuttongroup(fig, 'Position', [50 630 300 40], 'Title', ''); uibutton(source_btn_group, 'Position', [10 10 130 30], 'Text', '导入音频文件', ... 'ButtonPushedFcn', @(btn,event) select_audio(fig, 'source')); uibutton(source_btn_group, 'Position', [160 10 130 30], 'Text', '录制音频', ... 'ButtonPushedFcn', @(btn,event) record_audio(fig)); % 创建参考音频选择按钮 uilabel(fig, 'Position', [400 680 300 20], 'Text', '参考音频来源:', 'FontWeight', 'bold'); uibutton(fig, 'Position', [400 630 150 30], 'Text', '导入参考音频', ... 'ButtonPushedFcn', @(btn,event) select_audio(fig, 'reference')); % 创建处理按钮 process_btn = uibutton(fig, 'Position', [600 630 150 30], ... 'Text', '开始矫正', 'Enable', 'off', ... 'ButtonPushedFcn', @(btn,event) process_audio(fig)); % 创建播放和保存按钮 uibutton(fig, 'Position', [50 580 150 30], 'Text', '播放原始音频', ... 'ButtonPushedFcn', @(btn,event) play_audio(fig, 'source')); uibutton(fig, 'Position', [250 580 150 30], 'Text', '播放矫正音频', ... 'ButtonPushedFcn', @(btn,event) play_audio(fig, 'corrected')); uibutton(fig, 'Position', [450 580 150 30], 'Text', '保存矫正音频', ... 'ButtonPushedFcn', @(btn,event) save_audio(fig)); % 创建录音状态显示 recording_label = uilabel(fig, 'Position', [650 580 200 30], ... 'Text', '准备录音', 'FontColor', [0 0.5 0]); % 创建波形显示区域 ax_source = uiaxes(fig, 'Position', [50 350 800 150]); title(ax_source, '待矫正音频波形'); ax_reference = uiaxes(fig, 'Position', [50 180 800 150]); title(ax_reference, '参考音频波形'); ax_corrected = uiaxes(fig, 'Position', [50 10 800 150]); title(ax_corrected, '矫正后音频波形'); % 存储数据 fig.UserData.source_audio = []; fig.UserData.reference_audio = []; fig.UserData.corrected_audio = []; fig.UserData.fs = 44100; % 默认采样率 fig.UserData.process_btn = process_btn; fig.UserData.axes = struct('source', ax_source, 'reference', ax_reference, 'corrected', ax_corrected); fig.UserData.recording_label = recording_label; fig.UserData.recorder = []; % 录音器对象 fig.UserData.timer = []; % 计时器对象 end function select_audio(fig, audio_type) [file, path] = uigetfile({'*.wav;*.mp3;*.ogg;*.flac', ... '音频文件 (*.wav,*.mp3,*.ogg,*.flac)'}); if isequal(file, 0) return; end filename = fullfile(path, file); [audio, fs] = audioread(filename); % 处理立体声:转换为单声道 if size(audio, 2) > 1 audio = mean(audio, 2); end % 截取前20秒 max_samples = min(20*fs, length(audio)); audio = audio(1:max_samples); % 存储数据 fig.UserData.([audio_type '_audio']) = audio; fig.UserData.fs = fs; % 更新波形显示 ax = fig.UserData.axes.(audio_type); plot(ax, (1:length(audio))/fs, audio); xlabel(ax, '时间 (s)'); ylabel(ax, '幅度'); % 启用处理按钮 if ~isempty(fig.UserData.source_audio) && ~isempty(fig.UserData.reference_audio) fig.UserData.process_btn.Enable = 'on'; end end function record_audio(fig) % 创建录音界面 record_fig = uifigure('Name', '音频录制', 'Position', [300 300 400 200]); % 录音时长设置 uilabel(record_fig, 'Position', [50 150 100 20], 'Text', '录音时长 (秒):'); duration_edit = uieditfield(record_fig, 'numeric', ... 'Position', [160 150 100 20], 'Value', 5, 'Limits', [1 30]); % 采样率设置 uilabel(record_fig, 'Position', [50 120 100 20], 'Text', '采样率:'); fs_dropdown = uidropdown(record_fig, ... 'Position', [160 120 100 20], ... 'Items', {'8000', '16000', '44100', '48000'}, ... 'Value', '44100'); % 控制按钮 record_btn = uibutton(record_fig, 'Position', [50 70 100 30], ... 'Text', '开始录音', ... 'ButtonPushedFcn', @(btn,event) start_recording(fig, duration_edit.Value, str2double(fs_dropdown.Value))); uibutton(record_fig, 'Position', [160 70 100 30], ... 'Text', '停止录音', ... 'ButtonPushedFcn', @(btn,event) stop_recording(fig)); uibutton(record_fig, 'Position', [270 70 100 30], ... 'Text', '关闭', ... 'ButtonPushedFcn', @(btn,event) close(record_fig)); end function start_recording(fig, duration, fs) % 更新状态 fig.UserData.recording_label.Text = '录音中...'; fig.UserData.recording_label.FontColor = [1 0 0]; drawnow; % 创建录音器对象 recorder = audiorecorder(fs, 16, 1); % 16-bit, 单声道 % 设置录音时长 fig.UserData.recorder = recorder; fig.UserData.fs = fs; % 开始录音 record(recorder, duration); % 创建计时器显示剩余时间 t = timer('ExecutionMode', 'fixedRate', 'Period', 1, ... 'TasksToExecute', duration, ... 'TimerFcn', @(t,~) update_recording_timer(fig, t, duration)); start(t); % 存储计时器 fig.UserData.timer = t; end function update_recording_timer(fig, t, total_duration) elapsed = t.TasksExecuted; remaining = total_duration - elapsed; fig.UserData.recording_label.Text = sprintf('录音中: %d秒', remaining); % 录音结束时自动停止 if remaining <= 0 stop_recording(fig); end end function stop_recording(fig) if ~isempty(fig.UserData.recorder) && isrecording(fig.UserData.recorder) stop(fig.UserData.recorder); end % 停止计时器 if ~isempty(fig.UserData.timer) && isvalid(fig.UserData.timer) stop(fig.UserData.timer); delete(fig.UserData.timer); fig.UserData.timer = []; end % 获取录音数据 audio = getaudiodata(fig.UserData.recorder); fs = fig.UserData.fs; % 更新状态 fig.UserData.recording_label.Text = '录音完成!'; fig.UserData.recording_label.FontColor = [0 0.5 0]; % 存储为待矫正音频 fig.UserData.source_audio = audio; % 更新波形显示 ax = fig.UserData.axes.source; plot(ax, (1:length(audio))/fs, audio); title(ax, '录制音频波形'); xlabel(ax, '时间 (s)'); ylabel(ax, '幅度'); % 启用处理按钮 if ~isempty(fig.UserData.reference_audio) fig.UserData.process_btn.Enable = 'on'; end end function process_audio(fig) source = fig.UserData.source_audio; reference = fig.UserData.reference_audio; fs = fig.UserData.fs; % 确保主图窗存在 if ~isvalid(fig) errordlg('主窗口已关闭,无法处理音频!', '处理错误'); return; end % 创建处理进度对话框 h = uiprogressdlg(fig, 'Title', '处理中', 'Message', '音频对齐...', 'Indeterminate', 'on'); % 步骤1:音频对齐 try [aligned_source, aligned_ref] = improved_align_audio(source, reference, fs); catch ME close(h); errordlg(['音频对齐失败: ' ME.message], '处理错误'); return; end % 步骤2:基频提取 h.Message = '提取音高...'; try [f0_source, time_source] = extract_pitch(aligned_source, fs); [f0_ref, time_ref] = extract_pitch(aligned_ref, fs); catch ME close(h); errordlg(['音高提取失败: ' ME.message], '处理错误'); return; end % 步骤3:音调矫正 h.Message = '矫正音调...'; try [corrected, f0_corrected] = correct_pitch(fig, aligned_source, fs, f0_source, f0_ref, time_source, time_ref); catch ME close(h); errordlg(['音高校正失败: ' ME.message], '处理错误'); return; end % 关闭进度对话框 close(h); % 保存结果并更新显示 fig.UserData.corrected_audio = corrected; plot(fig.UserData.axes.corrected, (1:length(corrected))/fs, corrected); xlabel(fig.UserData.axes.corrected, '时间 (s)'); ylabel(fig.UserData.axes.corrected, '幅度'); % 绘制综合音高对比图 plot_pitch_comparison(time_source, f0_source, time_ref, f0_ref, f0_corrected); fprintf('原始音高平均: %.1f Hz\n', mean(f0_source(f0_source>0))); fprintf('参考音高平均: %.1f Hz\n', mean(f0_ref(f0_ref>0))); fprintf('矫正后音高平均: %.1f Hz\n', mean(f0_corrected(f0_corrected>0))); end function [aligned_src, aligned_ref] = improved_align_audio(src, ref, fs) % 改进的音频对齐方法:使用频谱互相关 win_size = round(0.1 * fs); % 100ms窗口 hop_size = round(0.05 * fs); % 50ms跳跃 % 计算源音频的频谱图 [S_src, ~, t_src] = spectrogram(src, win_size, win_size-hop_size, win_size, fs); % 计算参考音频的频谱图 [S_ref, ~, t_ref] = spectrogram(ref, win_size, win_size-hop_size, win_size, fs); % 计算互相关 n_frames = min(length(t_src), length(t_ref)); corr_vals = zeros(1, n_frames); for i = 1:n_frames spec_src = abs(S_src(:, i)); spec_ref = abs(S_ref(:, i)); corr_vals(i) = dot(spec_src, spec_ref) / (norm(spec_src) * norm(spec_ref)); end % 找到最大相关帧 [~, max_idx] = max(corr_vals); time_diff = t_src(max_idx) - t_ref(max_idx); sample_diff = round(time_diff * fs); % 对齐音频 if sample_diff > 0 aligned_src = src(1:end-sample_diff); aligned_ref = ref(sample_diff+1:end); else aligned_src = src(-sample_diff+1:end); aligned_ref = ref(1:end+sample_diff); end % 确保等长 min_len = min(length(aligned_src), length(aligned_ref)); aligned_src = aligned_src(1:min_len); aligned_ref = aligned_ref(1:min_len); end function mfcc = mfcc_feature(audio, fs, frame_size, hop_size) % 参数验证 if nargin < 4 hop_size = round(frame_size/2); % 默认50%重叠 end % 预处理:预加重 audio = filter([1 -0.97], 1, audio); % 分帧处理 frames = buffer(audio, frame_size, frame_size - hop_size, 'nodelay'); num_frames = size(frames, 2); % 加窗(汉明窗) window = hamming(frame_size); windowed_frames = frames .* repmat(window, 1, num_frames); % 计算功率谱 nfft = 2^nextpow2(frame_size); mag_frames = abs(fft(windowed_frames, nfft)); power_frames = (mag_frames(1:nfft/2+1, :)).^2; % 设计梅尔滤波器组 num_filters = 26; % 滤波器数量 mel_min = 0; % 最小Mel频率 mel_max = 2595 * log10(1 + (fs/2)/700); % 最大Mel频率 % 创建等间隔的Mel频率点 mel_points = linspace(mel_min, mel_max, num_filters + 2); % 将Mel频率转换为线性频率 hz_points = 700 * (10.^(mel_points/2595) - 1); % 转换为FFT bin索引 bin_indices = floor((nfft+1) * hz_points / fs); % 创建梅尔滤波器组 filter_bank = zeros(num_filters, nfft/2+1); for m = 2:num_filters+1 left = bin_indices(m-1); center = bin_indices(m); right = bin_indices(m+1); % 左侧斜坡 for k = left:center-1 filter_bank(m-1, k+1) = (k - left) / (center - left); end % 右侧斜坡 for k = center:right filter_bank(m-1, k+1) = (right - k) / (right - center); end end % 应用梅尔滤波器组 mel_spectrum = filter_bank * power_frames; % 取对数 log_mel = log(mel_spectrum + eps); % 计算DCT得到MFCC系数 mfcc = dct(log_mel); % 保留前13个系数(含能量系数) mfcc = mfcc(1:13, :); % 可选:添加能量特征 energy = log(sum(power_frames) + eps); mfcc(1, :) = energy; % 替换第0阶MFCC为对数能量 % 应用倒谱均值归一化 (CMN) mfcc = mfcc - mean(mfcc, 2); end function [f0, time] = extract_pitch(audio, fs) % 参数设置 frame_size = round(0.05 * fs); % 50ms帧 hop_size = round(0.025 * fs); % 25ms跳跃 n_frames = floor((length(audio) - frame_size) / hop_size) + 1; f0_min = 80; % 最低基频(Hz) f0_max = 1000; % 最高基频(Hz) tau_min = round(fs/f0_max); tau_max = round(fs/f0_min); f0 = zeros(1, n_frames); time = zeros(1, n_frames); % 预处理:带通滤波去除噪声 [b, a] = butter(4, [80, 1000]/(fs/2), 'bandpass'); audio = filtfilt(b, a, audio); for i = 1:n_frames start_idx = (i-1)*hop_size + 1; end_idx = min(start_idx + frame_size - 1, length(audio)); frame = audio(start_idx:end_idx); % 改进的YIN算法实现 diff = zeros(1, tau_max); for tau = 0:tau_max-1 for j = 1:length(frame)-tau diff(tau+1) = diff(tau+1) + (frame(j) - frame(j+tau))^2; end end % 累积均值归一化差分函数 (CMND) cmnd = diff; cmnd(1) = 1; % 避免除以零 for tau = 2:tau_max cmnd(tau) = diff(tau) / ((1/(tau)) * sum(diff(1:tau))); end % 寻找最小值 (考虑阈值) [min_val, min_idx] = min(cmnd(tau_min:tau_max)); tau = min_idx + tau_min - 1; % 二次插值提高精度 if tau > 1 && tau < tau_max cmnd_tau = cmnd(tau); cmnd_prev = cmnd(tau-1); cmnd_next = cmnd(tau+1); if min_val < 0.1 % 有效峰值阈值 delta = 0.5 * (cmnd_next - cmnd_prev) / ... (2*cmnd_tau - cmnd_prev - cmnd_next); tau = tau + delta; end end % 计算基频 f0(i) = fs / tau; time(i) = (start_idx + frame_size/2) / fs; end % 后处理:中值滤波和插值 valid_idx = f0 > f0_min & f0 < f0_max; f0(~valid_idx) = NaN; f0 = fillmissing(f0, 'movmedian', 5); % 5点移动中值 f0 = fillmissing(f0, 'linear'); % 线性插值填充 end function [corrected, f0_corrected] = correct_pitch(fig, audio, fs, f0_src, f0_ref, time_src, time_ref) % 创建进度条 h = uiprogressdlg(fig, 'Title', '处理中', 'Message', '音高校正...'); frame_len = round(0.05 * fs); % 50ms帧长 hop_size = round(0.025 * fs); % 25ms跳跃 n_frames = floor((length(audio)-frame_len)/hop_size) + 1; corrected = zeros(size(audio)); f0_corrected = zeros(1, n_frames); % 创建参考音高插值函数 valid_ref = f0_ref > 0; if any(valid_ref) ref_interp = @(t) interp1(time_ref(valid_ref), f0_ref(valid_ref), t, 'linear', 'extrap'); else ref_interp = @(t) 0; end for i = 1:n_frames % 计算当前帧位置 start_idx = (i-1)*hop_size + 1; end_idx = start_idx + frame_len - 1; frame = audio(start_idx:end_idx); % 查找当前帧对应的目标音高 t_frame = (start_idx + frame_len/2) / fs; target_f0 = ref_interp(t_frame); if f0_src(i) > 0 && target_f0 > 0 % 使用对数比例(音乐音高是几何级数) semitone_diff = 12 * log2(target_f0 / f0_src(i)); % 限制最大校正范围(±12半音) semitone_diff = max(-12, min(12, semitone_diff)); % 转换为频率比例 target_ratio = 2^(semitone_diff/12); % 使用相位声码器 corrected_frame = phase_vocoder(frame, target_ratio, fs); f0_corrected(i) = target_f0; else corrected_frame = frame; f0_corrected(i) = f0_src(i); end % 重叠相加 frame_end_idx = start_idx + length(corrected_frame) - 1; if frame_end_idx <= length(corrected) corrected(start_idx:frame_end_idx) = ... corrected(start_idx:frame_end_idx) + corrected_frame .* hamming(length(corrected_frame)); end % 更新进度条 h.Value = i/n_frames; h.Message = sprintf('处理进度: %d/%d 帧 (%.1f%%)', i, n_frames, i/n_frames*100); end % 归一化防止削波 max_amp = max(abs(corrected)); if max_amp > 0 corrected = corrected / max_amp; end close(h); end function y = phase_vocoder(x, ratio, fs) % 改进的相位声码器实现 n = 2048; % FFT点数 hop_in = round(n/4); hop_out = round(hop_in * ratio); % 初始化 w = hann(n, 'periodic'); X = stft(x, 'Window', w, 'OverlapLength', n-hop_in, 'FFTLength', n); % 相位处理 Y = phase_vocoder_process(X, hop_in, hop_out); % 重建信号 y = istft(Y, 'Window', w, 'OverlapLength', n-hop_out, 'FFTLength', n, ... 'ConjugateSymmetric', true); end function Y = phase_vocoder_process(X, hop_in, hop_out) Y = zeros(size(X)); if isempty(X), return; end phase_adv = angle(X(:,1)); Y(:,1) = X(:,1); % 保留第一帧 for i = 2:size(X,2) mag = abs(X(:,i)); phase = angle(X(:,i)); % 计算相位增量 (考虑2π周期性) delta_phase = phase - phase_adv; delta_phase = delta_phase - 2*pi*round(delta_phase/(2*pi)); % 计算瞬时频率 (考虑采样率) inst_freq = (delta_phase + 2*pi*(0:size(X,1)-1)'/size(X,1)) / hop_in; % 累积相位 adjusted_phase = phase_adv + inst_freq * hop_out; % 合成新帧 Y(:,i) = mag .* exp(1j * adjusted_phase); % 更新相位 phase_adv = adjusted_phase; end end function plot_pitch_comparison(time_src, f0_src, time_ref, f0_ref, f0_corrected) % 确保所有序列长度一致 min_length = min([length(time_src), length(time_ref), length(f0_corrected)]); time_src = time_src(1:min_length); f0_src = f0_src(1:min_length); time_ref = time_ref(1:min_length); f0_ref = f0_ref(1:min_length); f0_corrected = f0_corrected(1:min_length); % 创建综合音高对比图(保持原有逻辑) pitch_fig = figure('Name', '音高对比分析', 'Position', [100 100 900 800]); % 原始音高 vs 参考音高 subplot(3,1,1); plot(time_src, f0_src, 'b', 'LineWidth', 1.5); hold on; plot(time_ref, f0_ref, 'r--', 'LineWidth', 1.5); hold off; title('原始音高 vs 参考音高'); xlabel('时间 (s)'); ylabel('频率 (Hz)'); legend('原始音高', '参考音高', 'Location', 'best'); grid on; % 矫正后音高 vs 参考音高 subplot(3,1,2); plot(time_src, f0_corrected, 'g', 'LineWidth', 1.5); hold on; plot(time_ref, f0_ref, 'r--', 'LineWidth', 1.5); hold off; title('矫正后音高 vs 参考音高'); xlabel('时间 (s)'); ylabel('频率 (Hz)'); legend('矫正后音高', '参考音高', 'Location', 'best'); grid on; % 三向对比 subplot(3,1,3); plot(time_src, f0_src, 'b', 'LineWidth', 1.5); hold on; plot(time_ref, f0_ref, 'r--', 'LineWidth', 1.5); plot(time_src, f0_corrected, 'g-.', 'LineWidth', 2); hold off; title('音高对比综合分析'); xlabel('时间 (s)'); ylabel('频率 (Hz)'); legend('原始音高', '参考音高', '矫正后音高', 'Location', 'best'); grid on; % 添加音高误差分析(使用统一长度) valid_idx = (f0_src > 0) & (f0_ref > 0) & (f0_corrected > 0); if any(valid_idx) src_error = mean(abs(f0_src(valid_idx) - f0_ref(valid_idx))); corr_error = mean(abs(f0_corrected(valid_idx) - f0_ref(valid_idx))); annotation(pitch_fig, 'textbox', [0.15 0.05 0.7 0.05], ... 'String', sprintf('原始音高平均误差: %.2f Hz | 矫正后音高平均误差: %.2f Hz | 改进: %.1f%%', ... src_error, corr_error, (src_error - corr_error)/src_error*100), ... 'FitBoxToText', 'on', 'BackgroundColor', [0.9 0.9 0.9], ... 'FontSize', 12, 'HorizontalAlignment', 'center'); end end function play_audio(fig, audio_type) if ~isvalid(fig) errordlg('主窗口无效!', '播放错误'); return; end switch audio_type case 'source' audio = fig.UserData.source_audio; title_text = '播放原始音频'; if isempty(audio) errordlg('未找到原始音频数据!', '播放错误'); return; end case 'corrected' audio = fig.UserData.corrected_audio; title_text = '播放矫正音频'; if isempty(audio) errordlg('请先完成音高校正!', '播放错误'); return; end otherwise return; end fs = fig.UserData.fs; player = audioplayer(audio, fs); % 创建播放控制界面 play_fig = uifigure('Name', title_text, 'Position', [500 500 300 150]); % 播放进度条 ax = uiaxes(play_fig, 'Position', [50 100 200 20]); prog_line = line(ax, [0 0], [0 0], 'Color', 'b', 'LineWidth', 2); xlim(ax, [0 1]); ylim(ax, [0 1]); set(ax, 'XTick', [], 'YTick', []); % 播放时间显示 time_label = uilabel(play_fig, 'Position', [50 80 200 20], ... 'Text', '00:00 / 00:00', 'HorizontalAlignment', 'center'); % 控制按钮 uibutton(play_fig, 'Position', [50 30 60 30], 'Text', '播放', ... 'ButtonPushedFcn', @(btn,event) play(player)); uibutton(play_fig, 'Position', [120 30 60 30], 'Text', '暂停', ... 'ButtonPushedFcn', @(btn,event) pause(player)); uibutton(play_fig, 'Position', [190 30 60 30], 'Text', '停止', ... 'ButtonPushedFcn', @(btn,event) stop(player)); % 总时长计算 total_time = length(audio)/fs; mins = floor(total_time/60); secs = round(total_time - mins*60); total_str = sprintf('%02d:%02d', mins, secs); % 更新播放进度 player.TimerFcn = {@update_playback, play_fig, time_label, total_str, prog_line, length(audio)}; player.StopFcn = {@stop_playback, play_fig}; end function stop_playback(~, ~, fig) if isvalid(fig) close(fig); end end function save_audio(fig) if ~isvalid(fig) || isempty(fig.UserData.corrected_audio) errordlg('无有效音频数据可保存!', '保存错误'); return; end [file, path] = uiputfile('*.wav', '保存矫正音频'); if isequal(file, 0), return; end audiowrite(fullfile(path, file), fig.UserData.corrected_audio, fig.UserData.fs); msgbox('音频保存成功!', '完成'); end 这是代码,运行显示,警告: 执行为类 internal.IntervalTimer 定义的事件 Executing 的侦听程序回调时出现错误: 错误使用 internal.Callback.execute (第 142 行) 未定义与 'audiovideo.internal.audioplayerDesktop' 类型的输入参数相对应的函数 'update_playback'。 > 位置:internal/IntervalTimer/onCustomEvent (第 154 行) 位置: internal.IntervalTimer>@(source,data)obj.onCustomEvent(data.Type,data.Data) (第 115 行) 位置: matlabshared.asyncio.internal/Channel/onCustomEvent (第 575 行) 位置: matlabshared.asyncio.internal.Channel>@(source,data)obj.onCustomEvent(data.Type,data.Data) (第 473 行)
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06-16
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