Conformer2 vs Voicebox by Meta
Side-by-side comparison · Updated May 2026
| Description | Conformer-2 is AssemblyAI's latest AI model for automatic speech recognition, designed to enhance performance on proper nouns, alphanumerics, and resistance to noise. Trained on an extensive dataset of 1.1M hours of English audio, Conformer-2 builds on the success of Conformer-1, providing a substantial 31.7% improvement on alphanumerics, a 6.8% improvement on Proper Noun Error Rate, and a 12.0% boost in noise robustness. Additionally, it maintains Conformer-1's word error rate while significantly reducing latency by up to 53.7%. | Meta AI researchers have unveiled Voicebox, a cutting-edge generative AI model for speech that sets new standards in the field. Voicebox leverages a novel approach called Flow Matching to learn from raw audio and transcriptions, enabling it to modify any part of a given audio sample. It has outperformed existing models like VALL-E and YourTTS in terms of intelligibility, audio similarity, and processing speed. Voicebox has been trained on 50,000 hours of public domain audiobooks in multiple languages and can perform diverse tasks such as cross-lingual style transfer, noise removal, and content editing. Despite its capabilities, the model or code is not publicly accessible due to potential misuse, though Meta has shared audio samples and research papers detailing its functionalities. |
| Category | Speech-To-Text | Voice Modulation |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Free |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | AI modelautomatic speech recognitionConformer-2proper nounsalphanumerics | generative AI modelspeechFlow Matchingraw audiointelligibility |
| Features | ||
| 31.7% improvement on alphanumerics | ||
| 6.8% improvement on Proper Noun Error Rate | ||
| 12.0% boost in noise robustness | ||
| Trained on 1.1M hours of English audio | ||
| Maintains word error rate parity with Conformer-1 | ||
| Up to 53.7% reduction in latency | ||
| Enhanced performance in real-world audio conditions | ||
| Improved transcription accuracy | ||
| Increased number of models used for pseudo-labeling data | ||
| Developed by AssemblyAI | ||
| Generative AI for speech | ||
| Flow Matching technique | ||
| Zero-shot text-to-speech | ||
| Cross-lingual style transfer | ||
| Noise removal | ||
| Content editing | ||
| Multiple language support | ||
| State-of-the-art performance | ||
| 50,000 hours of training data | ||
| Not publicly available due to ethical considerations | ||
| View Conformer2 | View Voicebox by Meta | |
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