This application displays a leaderboard of Text-to-Speech models based on user votes. Users can filter the leaderboard to show preliminary results, exclude battle votes, sort by Arena Score, and hi...

Our speech generation leaderboard evaluates AI models on their ability to generate high-quality speech from textual descriptions.

Just submit some text, listen to two different models speak it out, and vote on which model you think is the best. The results will be organized into a leaderboard that displays the community’s highest-rated models. The field of speech synthesis has long lacked an accurate method to measure ...

Compare quality, speed, and price to find the best speech generation models in 2025 for voice agents, creative media, knowledge sharing, and assistants.

Analysis of Speech to Text AI models across word error rate, speed and price. Choose the best Speech to Text model for your use-case.

This leaderboard compares the best automatic speech recognition (ASR) models and APIs across real-world conditions like background noise, non-native accents, and technical vocabulary.

This application shows a leaderboard for text-to-speech systems. Users can view and compare different text-to-speech technologies without needing to input any data.

Note that the leaderboard displays models in descending order of how natural they sound based on community votes. When deploying TTS models, key considerations include: Performance and latency: Determine if your application requires real-time speech synthesis (e.g., virtual assistants) or if batch processing is sufficient (e.g., generating audiobooks).

Blind human evaluation of speech generation models. Play two samples, vote for your preferred voice across use-case focused prompts (e.g., Customer Service, Entertainment, Knowledge Sharing, and Assistants), then check the Leaderboard for rankings and your top picks.

July 6, 2025 - At Voispark, we integrate Six State-of-the-Art Models—ElevenLabs, Cartesia, Minimax, OpenAI, Fish Audio, and Orpheus—to empower your projects with All-in-One flexibility. This leaderboard cuts through technical jargon to compare these models on real-world usability, drawing from performance ...

This application lets you view benchmark data for speech models across various datasets and request evaluations for new models. You can filter models, expand detailed multilingual data, and submit ...

The text-to-speech (TTS) landscape is rapidly changing, with new state-of-the-art models launching every month. Many of these models are open-source. This article explores the top open-source TTS models, based on Hugging Face’s trending models and insights from our developer community. While the Hugging Face trending models leaderboard ...

Comprehensive AI leaderboards comparing LLM, TTS, STT, video, image, and embedding models. Compare performance, pricing, and capabilities across all AI modalities.

February 16, 2025 - A dataset containing synthetic speech from common models and their evaluation results ... There are other tools for objective evaluation of speech generation, including ZS-TTS-Evaluation, seed-tts-eval, tts-scores, evaluate-zero-shot-tts, and another leaderboard called TTSDS Scores.

Compare Text to Speech models based on user preferences in blind comparisons.

If you're interested in implementing this evaluation approach or leveraging Labelbox's tools for your own text-to-speech model assessment, sign up for a free Labelbox account to try it out, or ... Introducing our groundbreaking Labelbox Leaderboards...

IBM’s Granite Speech 3.3 8B is one of the top-ranked models on Hugging Face’s Open ASR leaderboard, with an average WER of about 5.85% across the benchmark suite.

Log in to track your votes, see personalized leaderboards, and more! ... You haven't voted on any TTS models yet. Visit the arena to compare models and build your personal leaderboard.