Industry

Should you use PyTorch vs TensorFlow in 2022? This guide walks through the major pros and cons of PyTorch vs TensorFlow, and how you can pick the right framework.

In this post, we’ll look more closely at how Sentiment Analysis works, current models, applications and use cases, limitations, and future projections.

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.

This article aims to answer the question: What is ASR?, and provide a comprehensive overview of Automatic Speech Recognition technology.

If you’re looking for a new data science blog to follow, check out our team's top picks, as well as recommended readings!

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.

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.

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.

Here are the top five Machine Learning blogs featuring Distill, Machine Learning Mastery, ML CMU, Neptune Blog, and Hacker News.

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.

This post compares the best free Speech-to-Text APIs on the market today, including APIs that have a free tier. We’ll also look at several free open source Speech-to-Text engines and explore why you might choose an API versus an open source library, or vice versa.

With more Speech-to-Text APIs on the market than ever before, how do you choose the best one for your product or use case? Answering these six questions is a great starting point.

In the field of Automatic Speech Recognition (ASR), Speaker Diarization refers to (A) the number of speakers that can be automatically detected in an audio file, and (B) the words that can be assigned to the correct speaker in that file.