dxRevive 是一款多功能语音修复插件，致力于提升各种对话录音的音质。与许多其他修复插件不同，dxRevive 不仅仅是过滤信号，它还能识别并重新整合缺失的频率成分，从各种音源素材中生成录音棚级别的录音。

降噪混响抑制修复缺失频率消除编解码器伪像（例如 Skype 或 Zoom 录音中的伪像）恢复削波音频应用频谱校正修复带限音频，例如电话录音

机器学习引擎高度优化的神经网络dxRevive 采用基于人工神经网络的高度优化算法。整个处理过程在本地进行，无需将数据发送到云端或使用特殊硬件。无需上传时间延迟或共享受保护的音频素材！

多语言专业知识全球语音数据库我们的算法已使用多种语言进行训练。他们通过我们定制的语音数据库，接触了来自世界各地使用者的丰富多样的语言细微差别和口音。无论输入的语音类型如何，dxRevive 都能精准还原各种发音的复杂细节。

100% 本地处理多说话人/语言/口音处理高效的单旋钮工作流程录音棚音效算法保留特征算法频谱聚焦模式，可针对不同频率进行微调”恢复手机”、”恢复低端”等预设快速 A-B 比较主页

dxRevive is a versatile speech restoration plugin, dedicated to enriching the quality of various dialogue recordings. Unlike many other restoration plugins, dxRevive doesn’t merely filter the signal. It goes beyond, identifying and reintegrating missing frequency components, yielding studio-like recordings from diverse source materials.

Noise removalReverb suppressionRestoration of absent frequenciesElimination of Codec Artifacts (e.g., from Skype or Zoom recordings)Recovery of clipped audioApplication of spectral correctionsRestoration of band-limited audio like phone call recordings

MACHINE LEARNING ENGINEhighly optimized neural networkdxRevive features highly optimized algorithms based on artificial neural networks. The whole processing happens locally without sending data to the cloud or requiring special hardware. No uploading time delays or sharing of protected audio material required!

MULTILINGUAL EXPERTISEglobal speech databaseOur algorithms have undergone training using an extensive array of languages. They have been exposed to a diverse range of linguistic nuances and accents from speakers around the world through our custom-recorded speech database. Regardless of the input speech type, dxRevive excels at accurately restoring the intricacies of various pronunciations.

100% local processingMulti Speaker/Language/Accent processingEfficient single-knob workflow​Studio sound algorithmRetain character algorithmSpectral Focus mode to fine-tune for different frequenciesPresets for “Restore Phone”, “Restore Low-End” …quick A-B comparisonhome page

支持系统：Windows MAC

文件大小：294MB