Deep Learning SimCLS and RefSum | Summarization Techniques This week’s Deep Learning research papers are SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization and RefSum: Refactoring Neural Summarization.
Deep Learning Regularization in a Neural Network | Dealing with Overfitting In this video, we will learn about Regularization, a common technique that is used to deal with overfitting in ASR.
Deep Learning What is Sentiment Analysis? In this post, we’ll look more closely at how Sentiment Analysis works, current models, applications and use cases, limitations, and future projections.
Deep Learning SUPERB: Speech processing Universal Performance Benchmark Review This week’s Deep Learning Research paper is “SUPERB: Speech processing Universal PERformance Benchmark Review”
Tutorials Podcasts About AI: Our Deep Learning Team’s Top Picks In this post, our deep learning team has rounded up our favorite podcasts about AI. For each podcast discussed, you’ll find a description, the average episode length, frequency, and some of our favorite episodes.
Deep Learning Text Segmentation - Approaches, Datasets, and Evaluation Metrics In this post, we give an overview of the best approaches, datasets, and evaluation metrics commonly used for the task of Text Segmentation.
Tutorials Real-time Speech Recognition with AssemblyAI Thanks to AssemblyAI’s real-time Speech-to-Text, it is very simple to set up a python script to perform real-time Speech Recognition.
Announcements Introducing Auto Chapters - Summarize Audio and Video Files Today, we're excited to officially announce our newest feature at AssemblyAI - Auto Chapters. The Auto Chapters feature provides a "summary over time" for audio content transcribed with AssemblyAI's API.
Deep Learning What is ASR? A Comprehensive Overview of Automatic Speech Recognition Technology This article aims to answer the question: What is ASR?, and provide a comprehensive overview of Automatic Speech Recognition technology.
Deep Learning Top 7 Data Science Blogs for Data Scientists and Enthusiasts If you’re looking for a new data science blog to follow, check out our team's top picks, as well as recommended readings!
Tutorials Batch Normalization | What is It and How to Implement It In this video, we will learn about Batch Normalization. Batch Normalization is a secret weapon that has the power to solve many problems at once. It is a great tool to deal with the unstable gradients problem, helps deal with overfitting, and might even make your models train faster.
Announcements AssemblyAI at HackDuke and HackUMBC This past weekend, AssemblyAI was a proud sponsor of HackDuke, an annual hackathon at Duke university, and HackUMBC, an annual hackathon at the University of Maryland.
Deep Learning An Overview of Transducer Models for ASR In recent years, Transducers have become the dominant ASR model architecture, surpassing CTC and LAS model architectures. In this article, we will examine the Transducer architecture more closely, and compare it to the more common CTC model architecture.
Tutorials Machine Learning Podcasts: The Ultimate Listening Guide Our team of deep learning engineers is always on the hunt to keep up with the latest research, industry news and applications, and future outlook of machine learning, deep learning, and artificial intelligence on our quest to create an industry best Speech-to-Text API.
Tutorials How to Make a Web App that Transcribes YouTube Videos with Streamlit Let's build an interactive web app that can transcribe YouTube videos in minutes! Streamlit is a great Python library that makes web development a piece of cake. And on top of Streamlit's powerful framework we will plug in Assembly AI's easy-to-use API to quickly upload and transcribe audio files.
Deep Shallow Fusion for RNN-T Personalization This week’s Deep Learning Research paper is “Deep Shallow Fusion for RNN-T Personalization.”
Deep Learning Data Science Podcasts You Need to Listen To Now From accessible, real-world topics to deep dives into the most technical aspects of data science to interviews with industry experts, these nine data science podcasts are all worthwhile listens to add to your playlist.
Case Studies CallRail Amplifies Conversation Intelligence Leadership with AssemblyAI’s Speech-to-Text API With AssemblyAI, CallRail has seen call transcription accuracy improve by up to 23% and has doubled the number of customers using its product.
Deep Learning What You Need to Know About Speech-to-Text Privacy If you’re an application developer, here are the questions about data security and privacy to explore before choosing the best Speech-to-Text API for your project.
Deep Learning Top 5 Machine Learning Blogs to Follow Here are the top five Machine Learning blogs featuring Distill, Machine Learning Mastery, ML CMU, Neptune Blog, and Hacker News.
Announcements Hack the Valley: AssemblyAI at University of Toronto Hackathon This past weekend, AssemblyAI was a proud sponsor of Hack The Valley, an annual student-run hackathon at the University of Toronto. We saw a great turnout at the event with over 300 participants and 70+ projects built in just under 36 hours.
Deep Learning Deep Learning in 5 Minutes | What is Deep Learning? In this video, we will take a closer look into Deep Learning. We will learn what deep learning is, where in the world of Artificial Intelligence it stands, why it has been very successful in becoming part of our lives and how it compares to more traditional machine learning algorithms.
Tutorials Do I Need A Custom Speech Recognition Model? In the field of Automatic Speech Recognition, or ASR, custom models are actually considered an “old school” approach. This is because in the past, classical ASR models had plateaued, so the only option was to try to customize the models in order to increase accuracy.
Deep Learning Review: A Graph Convolutional Neural Network for Emotion Recognition in Conversation In this week's Deep Learning Paper Review, we look at the following paper: DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation.
Announcements Releasing our v8 Transcription Model - 18.72% Better Accuracy Today, we’re happy to release our most accurate Speech Recognition model to date - version 8 (v8). This updated model delivers up to 18.72% better accuracy across many types of audio.
