prince-canuma commited on
Commit
0d8212f
·
verified ·
1 Parent(s): 4fbb98c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -4
README.md CHANGED
@@ -16,13 +16,10 @@ tags:
16
  # Introduction
17
  [[code](https://github.com/Marvis-Labs/marvis-tts)]
18
 
19
- Marvis is a cutting-edge conversational speech model designed to enable real-time voice cloning and streaming text-to-speech synthesis. Built with efficiency and accessibility in mind, Marvis addresses the growing need for high-quality, real-time voice synthesis that can run on consumer devices such as Apple Silicon and others.
20
-
21
- Traditional voice cloning models require either the whole text input, lengthy audio samples or lack real-time streaming capabilities. Marvis bridges this gap by enabling voice cloning with just 10 seconds of audio while maintaining natural-sounding speech through intelligent text processing and streaming audio generation.
22
 
23
  ## Key Features
24
 
25
- - **Rapid Voice Cloning**: Clone any voice using just 10 seconds of reference audio
26
  - **Real-time Streaming**: Stream audio chunks as text is processed, enabling natural conversational flow
27
  - **Compact Size**: Only 500MB when quantized, enabling on-device inference
28
  - **Edge deployment**: Optimized for real-time Speech-to-Speech (STS) on mobile devices (i.e., iPad, iPhone and etc)
 
16
  # Introduction
17
  [[code](https://github.com/Marvis-Labs/marvis-tts)]
18
 
19
+ Marvis is a cutting-edge conversational speech model designed to enable real-time streaming text-to-speech synthesis. Built with efficiency and accessibility in mind, Marvis addresses the growing need for high-quality, real-time voice synthesis that can run on consumer devices such as Apple Silicon, iPhones, iPads, Macs and others.
 
 
20
 
21
  ## Key Features
22
 
 
23
  - **Real-time Streaming**: Stream audio chunks as text is processed, enabling natural conversational flow
24
  - **Compact Size**: Only 500MB when quantized, enabling on-device inference
25
  - **Edge deployment**: Optimized for real-time Speech-to-Speech (STS) on mobile devices (i.e., iPad, iPhone and etc)