How accurate is the speech recognition?

1 hour ago

Dictalogic Support

1 minute

Overview

This article explains the accuracy levels achievable with Dictalogic’s speech recognition and the factors that influence it.

Applies to

All Users

Accuracy levels

Dictalogic’s AI speech recognition engine is designed to achieve up to 99.8% accuracy under optimal conditions. This is comparable to the accuracy of an experienced human transcriptionist. The engine is trained using Microsoft Azure Cognitive Speech Services with industry-specific dictionaries covering medical, legal, and financial vocabulary.

Factors That Affect Accuracy

Audio quality is the single most significant factor. A good microphone in a quiet environment produces the best results. Speaker clarity diction, pace, and accent also influence accuracy. The use of specialist terminology not present in the AI’s training data can lead to misrecognition, which is addressed through Speech to Text Replacements. The AI also improves over time as it adapts to each user’s voice patterns.

Accuracy vs human transcription

For straightforward dictations in a clear acoustic environment, AI accuracy is comparable to human transcription and is delivered many times faster. For complex, accented, or sensitive content, human transcription via the Dictalogic secretary workflow remains an option. Many organisations use AI as a first pass with human review for quality assurance.