Speech generation
Last updated: December 12, 2024Our speech generation leaderboard evaluates AI models on their ability to generate high-quality speech from textual descriptions. We assess factors such as speech quality, word error rate and naturalness.
Human preference evaluation
Diverse pool of US-based Alignerrs, including generalists and creative artists
Consensus of three Alignerrs per task
Standardized instructions and ontology for consistent evaluations
Carefully curated prompt generation process, balancing creativity and clarity
Context Awareness
Pronunciation Accuracy
Prosody Accuracy
Description:
Assesses a text-to-speech model’s ability to understand contextual information throughout the text and adapt its output based on linguistic and situation context. Examples includes tone adjustment, emphasis & rhythm changes, and punctuation interpretation.
Options:
High
Medium
Low