Measured modelsURGENT2024 WER
Clear benchmark ×Universal-3.5 Pro is AssemblyAI's speech-to-text model served through its Sync API, returning a complete transcript with word-level timestamps in a single synchronous response for audio up to 20 minutes. It...
GPT Transcribe is a high-accuracy speech-to-text model from OpenAI. It is suited for recorded audio, streamed file transcription, and committed Realtime turns, with free-form context, keyword hints, and…
Parakeet TDT 0.6B v3 is NVIDIA's 600M-parameter multilingual speech-to-text model built on the FastConformer-TDT architecture. Trained on the Granary dataset (670,000+ hours of audio), it supports automatic…
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and…
Voxtral Mini is an enhancement of Ministral 3B, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and…
Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper "Robust Speech Recognition via Large-Scale Weak Supervision" by Alec Radford et al.…
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech…
2B parameters · 6 languages · Encoder: Conformer · Decoder: granite-4.0-1b-base
0.02B parameters · 1 language · Encoder: State-space model · Decoder: CTC
0.038B parameters · 1 language · Encoder: State-space model · Decoder: CTC
0.084B parameters · 1 language · Encoder: State-space model · Decoder: CTC
0.009B parameters · 1 language · Encoder: State-space model · Decoder: CTC
2.68B parameters · 1 language · Encoder: Whisper · Decoder: Qwen3
2B parameters · 14 languages · Encoder: Conformer-based · Decoder: Transformer
0.8B parameters · 1 language · Encoder: Whisper · Decoder: Transformer
1.15B parameters · 19 languages · Encoder: Whisper · Decoder: Qwen2
3.75B parameters · 19 languages · Encoder: Whisper · Decoder: Qwen2
0.324B parameters · 7 languages · Encoder: Qwen3-ASR audio encoder · Decoder: 8-layer Qwen-style causal LM
1B parameters · 75 languages · Encoder: Whisper · Decoder: CTC
6.5B parameters · 1676 languages · Encoder: Self-supervised · Decoder: CTC
7.8B parameters · 1676 languages · Encoder: Self-supervised · Decoder: Transformer
0.6B parameters · 1 language · Encoder: FastConformer (low-bit) · Decoder: TDT
0.83B parameters · 4 languages · Encoder: Qwen3-ASR · Decoder: Custom