https://github.com/aaaastark/nvidia-speech-artificial-intelligence

NVIDIA Speech Artificial Intelligence. Speech AI Summit 2022.
https://github.com/aaaastark/nvidia-speech-artificial-intelligence

ai-pipelines alexa common-voice mozilla mozilla-deepspeech nlp-research nvidia python pytorch speech-enhancement speech-recognition speech-synthesis speech-to-text speechrecognition zero-shot-voice-conversion

Last synced: 9 days ago
JSON representation

NVIDIA Speech Artificial Intelligence. Speech AI Summit 2022.

• Host: GitHub
• URL: https://github.com/aaaastark/nvidia-speech-artificial-intelligence
• Owner: aaaastark
• License: mit
• Created: 2022-11-12T17:05:14.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-12T17:43:25.000Z (about 2 years ago)
• Last Synced: 2024-11-15T06:36:23.827Z (2 months ago)
• Topics: ai-pipelines, alexa, common-voice, mozilla, mozilla-deepspeech, nlp-research, nvidia, python, pytorch, speech-enhancement, speech-recognition, speech-synthesis, speech-to-text, speechrecognition, zero-shot-voice-conversion
• Homepage: https://github.com/aaaastark/NVIDIA-Speech-Artificial-Intelligence
• Size: 13.8 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# NVIDIA Speech Artificial Intelligence.

### [Speech AI Summit](https://www.linkedin.com/events/speechaisummit6980590151840264192/). On November 2nd and 3rd day was healed the "online conversations" with experts from Google, Meta, NVIDIA, and more on trends and techniques in automatic speech recognition (ASR) and text-to-speech (TTS) technologies. I participated as a volunteer (Data Scientist & AI - ML Engineer) audience person. 

# Introduction to Speech AI & End-To-End Speech AI Pipelines & Building Speech AI Applications

## Who is this E-Book series for?

### This e-book series is intended for business decision owners and developers within an enterprise who would like to understand the core concepts of speech AI and how to build and deploy applications for different use-cases.

## The series consists of three parts:

 - Part 1: Introduction to Speech AI

 - Part 2: End-To-End Speech AI Pipelines

 - Part 3: Building Speech AI Applications

## Over the course of this e-book series, you will learn about:

 - Speech AI and its major building blocks.

 - The role of speech AI in industries.

 - Different components and technologies that are involved in building end-to-end speech AI pipelines

 - How to get started with speech AI in your business with NVIDIA Riva



     

     

     



# Overview of Zero-Shot Multi-speaker TTS Systems

## Agenda

- Text to Speech (TTS)

- What is zero-shot multi-speaker TTS (ZS-TTS)?

- Multi-speaker TTS versus ZS-TTS

- How important is the Speaker Encoder for ZS-TTS?

- ZS-TTS main papers

- Main ZS-TTS open-source implementations

- ZS-TTS state-of-the-art audio samples



     



# Latest Advances in End -to -End Speech Recognition



     



# Speech representation learning and the emergence of Textless NLP Research

## Agenda

- 3 waves of speech representation learning

- SOTA Speech SSL methods

- Generative Spoken LMs

- Privacy-preserving Speech SSL

# Unlocking Speech AI Technology for Global Language Users