Overview
TrackSensei can read Ableton project files and audio products, and combine track structure, plug-in chain, MIDI, arrangement and spectrum data to generate directly executable production suggestions. The platform prioritizes issues to help producers locate specific issues such as murky mixes, insufficient dynamics, low-frequency clashes, or changes in arranging energy. [Product Features] Ableton Engineering Analysis: Read tracks, equipment, automation, sending effects and MIDI information in the .als file. Audio depth analysis: Analytical loudness, dynamic range, spectral balance, stereo performance, and mix state. Make a rating system: Give ratings and improvement directions from the dimensions of mixing, loudness, frequency balance, and arrangement. AI Production Coach: Supports continuous questioning around the current work to get feedback on specific tracks and paragraphs. Style adaptation feedback: Adjust the mixing, loudness, and arrangement reference standards according to the music genre and subgenre selected by the user. Rail splitting interactive diagnosis: Supports uploading multiple rails, analyzing problems such as the conflict between the floor drum and the bass, the side chain effect and frequency masking.
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TrackSensei 可读取 Ableton 工程文件与音频成品，结合轨道结构、插件链、MIDI、编曲与频谱数据，生成可直接执行的制作建议。平台将问题按优先级呈现，帮助制作人定位混音浑浊、动态不足、低频冲突或编曲能量变化等具体问题。【产品功能】Ableton 工程解析：读取 .als 文件中的轨道、设备、自动化、发送效果与 MIDI 信息。音频深度分析：分析响度、动态范围、频谱平衡、立体声表现与混音状态。制作评分体系：从混音、响度、频率平衡与编曲等维度给出评分和改进方向。AI 制作导师：支持围绕当前作品继续追问，获得针对具体轨道与段落的反馈。曲风适配反馈：根据用户选择的音乐流派与子流派调整混音、响度和编曲参考标准。分轨互动诊断：支持上传多个分轨，分析底鼓与贝斯冲突、侧链效果与频率遮蔽等问题。