![]() To accomplish this, we made several decisions, that while they require more effort, result in additional performance. For this implementation, we wanted to get the lowest latency TTS inference that we could. In a previous post, How to Deploy Real-Time Text-to-Speech Applications on GPUs using TensorRT, you learned how to import a TTS model from PyTorch into TensorRT, to perform faster inference with minimal effort. Below, we detail the effort of creating a high-performance, TTS, inference implementation, using NVIDIA TensorRT and CUDA. Our goal in creating the Riva TTS pipeline, was to enable conversational AIs to respond with natural sounding speech in as little time as possible, making for an engaging user experience. For more information about the networks, as well as how to train them using PyTorch, see Generate Natural Sounding Speech from Text in Real-Time. This TTS model is composed of the Tacotron2 network, which maps character sequences to mel-scale spectrograms, followed by the NVIDIA WaveGlow network, which generates time-domain waveforms from the mel-scale spectrograms. For more information about the Riva Server, see Introducing NVIDIA Riva: A GPU-Accelerated SDK for Developing Speech AI Applications. In this post, we focus on optimizations made to a TTS pipeline in Riva, as shown in Figure 1. Generating high-quality, natural-sounding speech from text with low latency, also known as text-to-speech (TTS), can be one of the most computationally challenging of those tasks. ![]() NVIDIA Riva is an application framework that provides several pipelines for accomplishing conversational AI tasks. Please Note: Continued use of GPS running in the background can dramatically decrease battery life.Figure 1. Select from 13 screens to see the data that's most important to you and your workout. You can use multiple sensors at the same time using the same or different wireless technologies without interference. power, nPower, iFactor, TSS, and mean max power for 20 seconds, 1, 2, 20, and 60 minutes. Works with all Bluetooth Smart and ANT+ power meters and offers multiple power screens with power in watts, avg. Choose from a huge array of customizable audio announcements such as distance, time, pace, calories burned and more at regular distance or time intervals to stay informed and motivated during your workout. Calculates personalized HR zones and shows current, average, and max heart rate as well as how much time you spend in each zone during your workout. Add your user data such as age, weight, and height to get personalized calorie burn information. ◇ Get the most accurate calorie burn count. ◇ Dedicated KICKR workout screen with four modes including Resistance Levels, Erg Mode, Simulation Mode and Manual mode See a summary of the results from your entire workout history, including GPS route, organized by date and workout type in the history tab. ![]() fit files for upload and analysis anywhere. ![]() ◇ Upload & Share workouts to your favorite training websites, including: ◇ Supports ANT+ fitness sensors using the Wahoo Key. ◇ Combine the app with Wahoo sensors to track heart rate and stride rate data, cycling power, speed, and cadence for more than 39 different fitness activities! ◇ Connect the Wahoo app with your KICKR Power Trainer for the ultimate in power, accuracy and responsiveness tuned for the most demanding cyclists. ◇ Register, update and get the most out of Wahoo products including KICKR and TICKR. ◇ Use your phone to record your running, cycling, or cardio workouts with GPS. Visit for more information on Wahoo products. Wahoo harnesses the awesome power of your phone to transform the way you ride, run and reach your training and fitness goals.
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