引导式测验 · 中等 等级
StyleTTS 2 风格扩散测验
测试 StyleTTS 2 如何建模语音风格、使用语音语言鉴别器进行训练以及在报告的评估集上执行。
问题 1 的 8
StyleTTS 2 使用扩散过程建模什么?
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- StyleTTS 2 使用扩散过程建模什么?
- 控制韵律和音色的潜在“风格向量”
- 原始音频波形逐个采样
- 演讲文字记录
- 听者的听觉反应
- StyleTTS 2 中使用哪种预训练语音模型作为对抗鉴别器?
- ResNet-50
- 波形LM
- 伯特
- 剪辑
- 为什么 StyleTTS 2 可以用多种自然的方式说出同一句话?
- 它随机破坏输入文本
- 它每次都使用不同的语言模型
- 风格是从分布中采样的,而不是固定的
- 它改变音素拼写
- What did the StyleTTS 2 authors report on the LJSpeech listening evaluation?
- It outperformed humans on every language and dataset
- No listeners evaluated the samples
- It was tested only on music
- Native English listeners rated its samples above the human recordings in that study
- “端到端”训练给 StyleTTS 2 带来了什么?
- 梯度从波形质量流回整个管道
- 根本不需要文字输入
- 它仅单独训练声码器
- 它消除了对任何神经网络的需要
- What can sampling different style vectors do for the same text?
- Change the transcript into a different language automatically
- Produce different prosodic realizations of the written content
- Guarantee every rendition sounds human
- Remove the need for speech synthesis
- What speech input does ordinary StyleTTS 2 synthesis require to sample a style?
- A three-second reference clip is always required
- A human listener must speak the sentence first
- No reference speech is required; it can generate style from the text-conditioned model
- A transcript of every training speaker
- On which dataset did the StyleTTS 2 paper report results for zero-shot speaker adaptation?
- 图像网
- 可可
- MUSDB18
- LibriTTS