Editor’s note: Since launching its Spaces feature, Twitter has demonstrated that hearing people’s voices can bring conversations on Twitter to life in a completely new way. Next, it aimed to make it easier for customers to join and listen to live conversations they personally care about. In this blog, we learn how the Twitter Spaces …
Read more “Twitter: Helping customers find meaningful Spaces with AutoML”
Recent parallel neural text-to-speech (TTS) synthesis methods are able to generate speech with high fidelity while maintaining high performance. However, these systems often lack control over the output prosody, thus restricting the semantic information conveyable for a given text. This paper proposes a hierarchical parallel neural TTS system for prosodic emphasis control by learning a …
Within logistics, shipping is a vast and delicate ecosystem. Over the last couple of years many people were directly impacted by complete production shutdowns, huge and unexpected swings in consumer demand, lack of labor at ports, a shortage of shipping containers… just to name a few! Addressing challenges with business analytics To help with some …
Read more “Optimizing shipping logistics in a time of change”
Posted by Zhengzhong Tu and Yinxiao Li, Software Engineers, Google Research Convolutional neural networks have been the dominant machine learning architecture for computer vision since the introduction of AlexNet in 2012. Recently, inspired by the evolution of Transformers in natural language processing, attention mechanisms have been prominently incorporated into vision models. These attention methods boost …
Read more “A Multi-Axis Approach for Vision Transformer and MLP Models”
In their debut on the MLPerf industry-standard AI benchmarks, NVIDIA H100 Tensor Core GPUs set world records in inference on all workloads, delivering up to 4.5x more performance than previous-generation GPUs. The results demonstrate that Hopper is the premium choice for users who demand utmost performance on advanced AI models. Additionally, NVIDIA A100 Tensor Core …
Read more “NVIDIA Hopper Sweeps AI Inference Benchmarks in MLPerf Debut”
There are still not enough data experts out there, even as the world of data evolves rapidly. We started the Summer School for Data Leaders five years ago to create a community for data experts to share ideas and relate to people facing similar challenges. Today, the Summer School has grown to include over 400 …
Read more “A steadfast community in an ever-changing data landscape”
Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, …
Read more “Transfer learning for TensorFlow image classification models in Amazon SageMaker”
Many AWS customers have been successfully using Amazon Transcribe to accurately, efficiently, and automatically convert their customer audio conversations to text, and extract actionable insights from them. These insights can help you continuously enhance the processes and products that directly improve the quality and experience for your customers. In many countries, such as India, English …
Vocoders are models capable of transforming a low-dimensional spectral representation of an audio signal, typically the mel spectrogram, to a waveform. Modern speech generation pipelines use a vocoder as their final component. Recent vocoder models developed for speech achieve a high degree of realism, such that it is natural to wonder how they would perform …