Extract 16 kHz mono WAV audio for speech recognition

Created by

Logan Parker

Actor

Audio and Video Convert — extract audio, transcode, trim, GIF

Pulls the audio track out of a media file and resamples it to 16 kHz mono 16-bit WAV, the input most speech-to-text models (Whisper and others) expect. Use it before transcription when your file is a video, an M4A or an MP3. Pay per started audio minute.

Try for free

Audio and Video Convert — extract audio, transcode, trim, GIFhermeskd/audio-video-convert

URL

Operation

Format

+10 fields

Input

Media file URL(required):https://raw.githubusercontent.com/membraneframework/static/1dfd8fd1afe23fb99d7bd156fe9ecfef4472a272/samples/sherlock_librivox.mp4

Operation(required):extract_audio

Audio format:wav

Sample rate (Hz):16000

Channels:1

Output fields

URL

Operation

Format

Width (px)

Height (px)

Output duration (s)

Size (bytes)

Minutes charged

Event charged

Warnings

Output URL

Output record key

Error

How it works

Sign up on Apify or log in

The Audio and Video Convert — extract audio, transcode, trim, GIF Actor is ready to run with the inputs already set for "Extract 16 kHz mono WAV audio for speech recognition". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract 16 kHz mono WAV audio for speech recognition" task

The Audio and Video Convert — extract audio, transcode, trim, GIF Actor will start running based on the input automatically. You can also change all the input fields, like media file url, operation, and more, to match your specific use case.

Receive the "Extract 16 kHz mono WAV audio for speech recognition" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, OK, operation, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Extract 16 kHz mono WAV audio for speech recognition" task via API.