How to Perform Entity Detection on Audio Files with Python

TL;DR

To perform entity detection on audio files using Python, utilize Assembly AI's API to send the audio file and specify the entity detection feature. The process involves sending a POST request, polling for job completion, and retrieving results that include entity types, text, and timestamps for each detected entity.

Transcript

hey and welcome today let's learn how to do entity detection on our audio files using python in a very simple way so let's see what the result is going to look like once we're done with this project we are going to get a list of entities in a dictionary format for each entity we are going to have a start and end time stamp in the audio file of when... Read More

Key Insights

• 🔠 Assembly AI's API provides audio intelligence features, including entity detection.
• 👨‍🦱 The code involves sending a POST request to Assembly AI's transcription endpoint with the audio file's URL and entity detection feature enabled.
• ✅ The polling endpoint is used to check the transcription job's status and retrieve the entity detection results once the job is completed.
• ❤️‍🩹 The entity detection results include start and end timestamps, entity type, and entity text.
• 🤑 Assembly AI supports various entity types, such as person names, money amounts, and occupations.
• 👨‍💻 The code includes a delay of 30 seconds between each polling request to avoid excessive requests.
• 🥶 Users can obtain a free API token from Assembly AI by creating an account through the provided link.

Questions & Answers

Q: What is entity detection in relation to audio files?

Entity detection involves identifying and extracting specific entities, such as person names, occupations, or event names, from audio files.

Q: How can Assembly AI's API be accessed?

To access Assembly AI's API, you need an API token, which can be obtained by creating a free account on their website.

Q: What data format is used to send information to Assembly AI?

The data sent to Assembly AI is in JSON format and includes the URL of the audio file and the specified features, such as entity detection.

Q: How can the completion of a transcription job be checked?

By continuously polling Assembly AI using a specific polling endpoint, the status of the transcription job can be checked. Once the status is "completed," the entity detection results can be obtained.

Summary & Key Takeaways

• This tutorial demonstrates how to perform entity detection on audio files using Python and Assembly AI's API.

• The code involves two Python files: "main.py" and "configure.py".

• The process includes sending an audio file to Assembly AI, specifying the entity detection feature, and continuously polling Assembly AI for the transcription job's completion.