In my free time, I am attempting to build my own smart home devices. One feature they will need is speech recognition. While I am not certain yet as to how exactly I want to implement that feature, I thought it would be interesting to dive in and explore…

Investing in speech analytics technology is a big step for your business, especially when you’re just about to start.

Last winter, I dived into speech recognition. If you recall, I used the SpeechRecognition library in Python (from PyAudio to be more specific).\

I wanted to revisit the speech recognition API I have been using, but with a new project.

This article looks at some of the top transcription APIs and open source libraries available on the market today.

This article examines the best APIs on the market for performing Topic Detection in 2022.

Can you spot the difference between Voice Recognition and Automatic Speech Recognition? Read to find out their differences and develop your understanding of ASR

Differences between SLU (Spoken Language Understanding) and NLU (Natural Language Understanding). Top FOSS and paid engines and their approach to SLU.

Advanced speech recognition systems like Whisper will forever change how we relate to computers and AI models. See the future in action with these new apps.

Today, we will look behind the scenes of Automatic Speech Recognition models that drive the speech assistants.

Plain English description of how Meta AI Research's wav2vec2 model works with respect to automatic speech recognition (ASR).