Join our contest that runs through June 17 and showcase your innovation using cutting-edge generative AI-powered applications using NVIDIA and LangChain technologies. To get you started, we explore a few applications for inspiring your creative journey, while sharing tips and best practices to help you succeed in the development process. There are many different practical applications…
]]>Audio can include a wide range of sounds, from human speech to non-speech sounds like barking dogs and sirens. When designing accessible applications for people with hearing difficulties, the application should be able to recognize sounds and understand speech. Such technology would help deaf or hard-of-hearing individuals with visualizing speech, like human conversations and non-speech…
]]>When interacting with a virtual assistant, you give a command and receive a verbal response. The technology powering this generated voice response is known as text-to-speech (TTS). TTS applications are highly useful as they enable greater content accessibility for those who use assistive devices. With the latest TTS techniques, you can generate a synthetic voice from only a few minutes of…
]]>From taking your order and serving you food in a restaurant to playing poker with you, service robots are becoming increasingly prevalent. Globally, you can find these service robots at hospitals, airports, and retail stores. According to Gartner, by 2030, 80% of humans will engage with smart robots daily, due to smart robot advancements in intelligence, social interactions…
]]>Speech is one of the primary means to communicate with an AI-powered application. From virtual assistants to digital avatars, voice-based interfaces are changing how we typically interact with smart devices. Deep learning techniques for speech recognition and speech synthesis are helping improve the user experience—think human-like responses and natural-sounding tones. If you plan to…
]]>Virtual agents or voice-enabled assistants have been around for quite some time. But in the last decade, their usefulness and popularity have exploded with the use of AI. According to Gartner, virtual assistants will automate up to 75% of tasks for call center agents by 2025–up from 30% in 2021. This translates to a better experience for both contact center agents and customers.
]]>Over the past decade, AI-powered speech recognition systems have slowly become part of our everyday lives, from voice search to virtual assistants in contact centers, cars, hospitals, and restaurants. These speech recognition developments are made possible by deep learning advancements. Sign up for the latest Data Science news. Get the latest announcements, notebooks, hands-on tutorials…
]]>Major updates to Riva, an SDK for building speech AI applications, and a paid Riva Enterprise offering were announced at NVIDIA GTC 2022 last week. Several key updates to the NeMo framework, a framework for training Large Language Models, were also announced. Riva offers world-class accuracy for real-time automatic speech recognition (ASR) and text-to-speech (TTS) skills across multiple…
]]>This month, NVIDIA released world-class speech-to-text models for Spanish, German, and Russian in Riva, powering enterprises to deploy speech AI applications globally. In addition, enterprises can now create expressive speech interfaces using Riva’s customizable text-to-speech pipeline. NVIDIA Riva is a GPU-accelerated speech AI SDK for developing real-time applications like live captioning…
]]>At NVIDIA GTC this November, new software tools were announced that help developers build real-time speech applications, optimize inference for a variety of use-cases, optimize open-source interoperability for recommender systems, and more. Watch the keynote from CEO, Jensen Huang, to learn about the latest NVIDIA breakthroughs. Today, NVIDIA unveiled a new version of NVIDIA Riva with a…
]]>This post is part of a series about generating accurate speech transcription. For part 1, see Speech Recognition: Generating Accurate Domain-Specific Audio Transcriptions Using NVIDIA Riva. For part 2, see Speech Recognition: Customizing Models to Your Domain Using Transfer Learning. NVIDIA Riva is an AI speech SDK for developing real-time applications like transcription, virtual assistants…
]]>This post is part of a series about generating accurate speech transcription. For part 1, see Speech Recognition: Generating Accurate Transcriptions Using NVIDIA Riva. For part 3, see Speech Recognition: Deploying Models to Production. Creating a new AI deep learning model from scratch is an extremely time– and resource-intensive process. A common solution to this problem is to employ…
]]>This post is part of a series about generating accurate speech transcription. For part 2, see Speech Recognition: Customizing Models to Your Domain Using Transfer Learning. For part 3, see Speech Recognition: Deploying Models to Production. Every day millions of audio minutes are produced across several industries such as Telecommunications, Finance, and Unified Communications as a Service…
]]>Researchers from around the world working on speech applications are gathering this month for INTERSPEECH, a conference focused on the latest research and technologies in speech processing. NVIDIA researchers will present papers on groundbreaking research in speech recognition and speech synthesis. Conversational AI research is fueling innovations in speech processing that help computers…
]]>This post was updated July 20, 2021 to reflect NVIDIA TensorRT 8.0 updates. NVIDIA TensorRT is an SDK for deep learning inference. TensorRT provides APIs and parsers to import trained models from all major deep learning frameworks. It then generates optimized runtime engines deployable in the datacenter as well as in automotive and embedded environments. This post provides a simple…
]]>NVIDIA recently released NVIDIA Riva with world-class speech recognition capability for enterprises to generate highly accurate transcriptions and NVIDIA NeMo 1.0, which includes new state-of-the-art speech and language models for democratizing and accelerating conversational AI research. NVIDIA Riva world-class speech recognition is an out-of-the-box speech service that can be easily…
]]>Conversational AI is opening new ways for enterprises to interact with customers in every industry using applications like real-time transcription, translation, chatbots, and virtual assistants. Building domain-specific interactive applications requires state-of-the-art models, optimizations for real-time performance, and tools to adapt those models with your data. This week at GTC…
]]>Data plays a crucial role in creating intelligent applications. To create an efficient AI/ ML app, you must train machine learning models with high-quality, labeled datasets. Generating and labeling such data from scratch has been a critical bottleneck for enterprises. Many companies prefer a one-stop solution to support their AI/ML workflow from data generation, data labeling, model training/
]]>This is an updated version of Neural Modules for Fast Development of Speech and Language Models. This post upgrades the NeMo diagram with PyTorch and PyTorch Lightning support and updates the tutorial with the new code base. As a researcher building state-of-the-art speech and language models, you must be able to quickly experiment with novel network architectures.
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