1. Loom Analytics Knowledge Base
  2. Claudio: Profiles & Workflows

Why isn’t the speaker identification proper in my transcript?

Claudio’s Speaker Labels feature revolutionizes transcription by identifying and tagging individual speakers within a transcript. This capability is particularly valuable in multi-speaker settings, enabling effortless tracking and organization of conversations.

Learn how to enable Speaker Identification in Claudio here.

 

While Claudio’s speaker identification is highly effective, a few factors may influence its performance.

Factors Impacting Speaker Identification Accuracy

  1. Audio Quality
    High-quality audio is critical for optimal performance. Poor recording conditions, background noise, or unclear audio may reduce Claudio’s ability to distinguish between speakers accurately.

  2. Speaker Similarity
    When speakers have very similar voices, such as in tone or pitch, the accuracy of differentiation can decrease.

  3. Audio Duration
    Claudio performs best with recordings under one hour. Transcribing longer audio files may result in reduced precision in speaker labeling.

  4. Number of Speakers
    Claudio is optimized for conversations involving up to four distinct speakers. In recordings with more than four participants, there is an increased likelihood of multiple speakers being grouped under a single label.

Optimizing Performance
To ensure Claudio delivers the most accurate speaker labels:
  • Use high-quality recording equipment in a quiet environment.
  • Limit the number of speakers per audio file to four or fewer.
  • Break longer audio files into smaller segments where possible.

By adhering to these best practices, Claudio consistently provides reliable and precise speaker labels, making your transcripts clear, organized, and more actionable.