Fix typos for Vevo1.5 (#427)

Author: RMSnow

README.md

@@ -34,7 +34,7 @@
 In addition to the specific generation tasks, Amphion includes several **vocoders** and **evaluation metrics**. A vocoder is an important module for producing high-quality audio signals, while evaluation metrics are critical for ensuring consistent metrics in generation tasks. Moreover, Amphion is dedicated to advancing audio generation in real-world applications, such as building **large-scale datasets** for speech synthesis.
 
 ## 🚀 News
-- **2025/04/12**: We release [***Vevo1.5***](models/svc/vevosing/README.md), which extends Vevo and focuses on unified and controllable generation for both speech and singing voice. Vevo1.5 can be applied into a series of speech and singing voice generation tasks, including VC, TTS, AC, SVS, SVC, Speech/Singing Voice Editing, and more. [![blog](https://img.shields.io/badge/README-Blog-blue.svg)](https://veiled-army-9c5.notion.site/Vevo1-5-1d2ce17b49a280b5b444d3fa2300c93a)
+- **2025/04/12**: We release [***Vevo1.5***](models/svc/vevosing/README.md), which extends Vevo and focuses on unified and controllable generation for both speech and singing voice. Vevo1.5 can be applied into a series of speech and singing voice generation tasks, including VC, TTS, AC, SVS, SVC, Speech/Singing Voice Editing, Singing Style Conversion, and more. [![blog](https://img.shields.io/badge/README-Blog-blue.svg)](https://veiled-army-9c5.notion.site/Vevo1-5-1d2ce17b49a280b5b444d3fa2300c93a)
 - **2025/02/26**: We release [***Metis***](https://github.com/open-mmlab/Amphion/tree/main/models/tts/metis), a foundation model for unified speech generation. The system supports zero-shot text-to-speech, voice conversion, target speaker extraction, speech enhancement, and lip-to-speech. [![arXiv](https://img.shields.io/badge/arXiv-Paper-COLOR.svg)](https://arxiv.org/pdf/2502.03128) [![hf](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-model-yellow)](https://huggingface.co/amphion/metis)
 - **2025/02/26**: *The Emilia-Large dataset, featuring over 200,000 hours of data, is now available!!!* Emilia-Large combines the original 101k-hour Emilia dataset (licensed under `CC BY-NC 4.0`) with the brand-new 114k-hour **Emilia-YODAS dataset** (licensed under `CC BY 4.0`). Download at [![hf](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Dataset-yellow)](https://huggingface.co/datasets/amphion/Emilia-Dataset). Check details at [![arXiv](https://img.shields.io/badge/arXiv-Paper-COLOR.svg)](https://arxiv.org/abs/2501.15907).
 - **2025/01/30**: We release [Amphion v0.2 Technical Report](https://arxiv.org/abs/2501.15442), which provides a comprehensive overview of the Amphion updates in 2024. [![arXiv](https://img.shields.io/badge/arXiv-Paper-COLOR.svg)](https://arxiv.org/abs/2501.15442)

models/svc/vevosing/README.md

@@ -7,7 +7,7 @@
 We present **Vevo1.5**, a versatile zero-shot voice imitation framework capable of modeling both speech and singing voices. This framework offers two key features: 
 
 1. Unified speech and singing voice modeling.
-2. Fine-grained control over multiple voice attributes, including text, melody, style, and melody. 
+2. Controllability for multiple voice attributes, including text, prosody, style, and timbre. 
 
 ![Vevo1.5](../../../imgs/svc/vevo1.5.png)