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voice-isolator

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by elevenlabs · part of elevenlabs/skills

Remove background noise and isolate vocals/speech from audio using ElevenLabs Voice Isolator (audio isolation) API. Use when cleaning up noisy recordings,…

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🧩 One of 7 skills in the elevenlabs/skills package — works on its own, and pairs well with its siblings.

Remove background noise and isolate vocals/speech from audio using ElevenLabs Voice Isolator (audio isolation) API. Use when cleaning up noisy recordings,…

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by elevenlabs

Remove background noise and isolate vocals/speech from audio using ElevenLabs Voice Isolator (audio isolation) API. Use when cleaning up noisy recordings,… npx skills add https://github.com/elevenlabs/skills --skill voice-isolator Download ZIPGitHub361

ElevenLabs Voice Isolator

Removes background noise from audio and isolates vocals/speech — useful for cleaning up noisy recordings, prepping audio for transcription, or pulling dialogue out of a mixed track.

Setup: See Installation Guide. For JavaScript, use @elevenlabs/* packages only.

Parameters

Parameter Type Default Description audio file (required) — Audio file with vocals/speech to isolate file_format string other other for any encoded audio, or pcm_s16le_16 for 16-bit PCM mono @ 16kHz little-endian (lower latency)

Isolating from a URL

Copy & paste — that's it
import requests
from io import BytesIO
from elevenlabs import ElevenLabs

client = ElevenLabs()

audio_url = "https://example.com/noisy.mp3"
response = requests.get(audio_url)
audio_data = BytesIO(response.content)

audio_stream = client.audio_isolation.convert(audio=audio_data)

with open("clean.mp3", "wb") as f:
 for chunk in audio_stream:
 f.write(chunk)

Low-Latency PCM Input

If you already have raw 16-bit PCM mono @ 16kHz, passing file_format="pcm_s16le_16" skips decoding and reduces latency:

Copy & paste — that's it
audio_stream = client.audio_isolation.convert(
 audio=pcm_bytes,
 file_format="pcm_s16le_16",
)

Supported Formats

Any common encoded audio/video container works as input (MP3, WAV, M4A, FLAC, OGG, WebM, MP4, etc.). Response is a streamed MP3 by default.

Common Workflows

  • Clean up interview/podcast recordings — strip room tone, HVAC, traffic before editing.

  • Prep noisy audio for Speech-to-Text — isolate voice first, then pass through speech_to_text.convert() for better transcription accuracy.

  • Extract dialogue from mixed tracks — pull vocals out of a track with music/SFX.

  • Pre-processing for Voice Changer — isolate the source voice before applying voice transformation.

Error Handling

Copy & paste — that's it
try:
 audio_stream = client.audio_isolation.convert(audio=audio_file)
except Exception as e:
 print(f"Voice isolation failed: {e}")

Common errors:

  • 401: Invalid API key

  • 422: Invalid parameters (e.g. wrong file_format for the supplied audio)

  • 429: Rate limit exceeded

References