Skip to main content

Measure acoustic-prosodic entrainment in speech

Project description

entrainment-metrics

Documentation Status

entrainment-metrics is all about being able to measure entrainment. Entrainment in spoken dialogue is commonly defined as a tendency of a speaker to adapt some properties of her speech to match her interlocutor’s. With this library you’ll be able to measure entrainment along one dimension: acoustic-prosodic (a/p) features.

Checkout the docs and the Getting started page for a deeper dive into the library!

Installation

  • To use entrainment_metrics, first install it using pip:
pip install entrainment_metrics
  • Speech feature extraction If you'll be using praat for feature extraction it's also required the command-line tool ffmpeg to be installed on your system, which is available from most package managers:
# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

And for installing praat on Ubuntu or Debian:

sudo apt update && sudo apt install praat

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

entrainment_metrics-1.0.6.tar.gz (14.6 kB view hashes)

Uploaded Source

Built Distribution

entrainment_metrics-1.0.6-py3-none-any.whl (18.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page