Skip to main content

Python Wrapper for PESQ Score (narrow band and wide band)

Project description


PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users

This code is designed for numpy array specially.


C compiler

Build and Install

$ git clone
$ cd python-pesq
$ pip install .  # for python 2
$ pip3 install . # for python 3 
$ cd ..
$ rm -rf python-pesq # remove the code folder since it exists in the python package folder

Install with pip

# PyPi Repository
$ pip install pesq

# The Latest Version
$ pip install

# or

$ pip3 install

Usage for narrow-band and wide-band Modes

Please note that the sampling rate (frequency) should be 16000 or 8000 (Hz).

And using 8000Hz is supported for narrow band only.

The code supports error-handling behaviors now.

def pesq(fs, ref, deg, mode, on_error=PesqError.RAISE_EXCEPTION):
        ref: numpy 1D array, reference audio signal 
        deg: numpy 1D array, degraded audio signal
        fs:  integer, sampling rate
        mode: 'wb' (wide-band) or 'nb' (narrow-band)
        on_error: error-handling behavior, it could be PesqError.RETURN_VALUES or PesqError.RAISE_EXCEPTION by default
        pesq_score: float, P.862.2 Prediction (MOS-LQO)

Once you select PesqError.RETURN_VALUES, the pesq function will return -1 when an error occurs.

Once you select PesqError.RAISE_EXCEPTION, the pesq function will raise an exception when an error occurs.

It supports the following errors now: InvalidSampleRateError, OutOfMemoryError,BufferTooShortError,NoUtterancesError,PesqError(other unknown errors).

from import wavfile
from pesq import pesq

rate, ref ="./audio/speech.wav")
rate, deg ="./audio/speech_bab_0dB.wav")

print(pesq(rate, ref, deg, 'wb'))
print(pesq(rate, ref, deg, 'nb'))


The correctness is verified by running samples in audio folder.

PESQ computed by this code in wide band mode is 1.0832337141036987

PESQ computed by this code in narrow band mode is 1.6072081327438354


Sampling rate (fs|rate) - No default. Must select either 8000Hz or 16000Hz.

Note there is narrow band (nb) mode only when sampling rate is 8000Hz.

The original C soure code is modified.

Who is using python-pesq

Please click here to see these repositories, whose owners include Facebook Research, SpeechBrain, NVIDIA .etc.

Buy me a Coffee

Buy me a Coffee if my work helps you in some ways.

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

pesq-0.0.3.tar.gz (35.9 kB view hashes)

Uploaded Source

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