August 30 – September 3, 2021
Join us at INTERSPEECH, a technical conference focused on the latest research and technologies in speech processing. NVIDIA will present accepted papers on our latest research in speech recognition and speech synthesis.
Explore NVIDIA’s work in conversational AI research across automatic speech recognition, natural language processing, and text-to-speech. This chapter of I AM AI reveals how NVIDIA developers and creators deploy state-of-the art models for expressive speech synthesis capabilities.
Come check out NVIDIA’s papers at this year’s hybrid INTERSPEECH event. They cover a wide range of groundbreaking research in the field of conversational AI, including datasets, pre-trained models, and real-world applications for speech recognition and text-to-speech.
| TUESDAY 8/31 | WEDNESDAY 9/1 | THURSDAY 9/2 | FRIDAY 9/3 |
|---|---|---|---|
| SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko 11:00 a.m. - 01:00 p.m. CET |
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| TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction Stanislav Beliaev, Boris Ginsburg 04:00 - 06:00 p.m. CET |
Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller 04:00 - 06:00 p.m. CET |
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| NeMo Inverse Text Normalization: From Development To Production Yang Zhang, Evelina Bakhturina, Kyle Gorman, Boris Ginsburg 04:00 - 06:00 p.m. CET |
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| Scene-Agnostic Multi-Microphone Speech Dereverberation Yochai Yemini, Ethan Fetaya, Haggai Maron, Sharon Gannot 07:00 - 09:00 p.m. CET |
Hi-Fi Multi-Speaker English TTS Dataset Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg, Yang Zhang 07:00 - 09:00 p.m. CET |
NVIDIA offers pre-trained models for speech recognition, language understanding, and speech synthesis through the NGC catalog. These models are highly accurate and have been trained on a variety of open and proprietary datasets for thousands of hours using GPUs. The NGC models are seamlessly integrated with SDKs such as NVIDIA NeMo for building, training, and fine-tuning conversational AI models
Explore NVIDIA NeMo, an open-source toolkit for researchers developing new state-of-the-art conversational AI models. It provides a collection of modules and models for automatic speech recognition, natural language processing, and text-to-speech. NeMo modules and models are highly interoperable with popular PyTorch and PyTorch Lightning frameworks, giving researchers exceptional flexibility.
NVIDIA offers Riva, a GPU- accelerated SDK to help enterprises develop multimodal conversational AI applications. It includes highly accurate pre-trained models in NGC, tools for fine-tuning these models on custom datasets, and optimized real-time speech and language skills for tasks like transcription and natural language-understanding.
Get the advanced tools and training you need to successfully build applications on all NVIDIA technology platforms.
With the NVIDIA Deep Learning Institute (DLI), developers, data scientists, researchers, and students can access hands-on training in AI, accelerated computing, and accelerated data science to advance their knowledge in topics like AI for speech processing.
Use code INTERSPEECH25 to receive 25% off the upcoming workshops:
Building Transformer-Based Natural Language Processing Applications
September 23, 2021 at 9:00am-5:00pm PDT.
Building Conversational AI Applications
November 24, 2021 at 9:00am-5:00pm CET
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