SPTK-2

SPTK-2 is an open multilingual automatic speech recognition (ASR) model developed by SVECTOR.
It supports (after revised) 96 languages and offers improved accuracy, timestamp precision, and energy efficiency compared to previous models.

📄 Read the paper: SPTK: A Framework for Universal Multilingual ASR (2025)

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🧪 Example Usage

from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
import torchaudio

processor = AutoProcessor.from_pretrained("SVECTOR-CORPORATION/SPTK-2")
model = AutoModelForSpeechSeq2Seq.from_pretrained("SVECTOR-CORPORATION/SPTK-2")

# Load and preprocess audio
audio, sr = torchaudio.load("your_audio_file.mp3")
inputs = processor(audio[0], sampling_rate=sr, return_tensors="pt")

# Generate transcription
with torch.no_grad():
    predicted_ids = model.generate(inputs.input_values)

# Decode output
print(processor.batch_decode(predicted_ids, skip_special_tokens=True))

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📦 Model Details

• Model type: Encoder-decoder
• Architecture: E-Branchformer + Sparse MoE decoder
• Languages: 99+
• Supports transcription, translation, timestamps
• Released: April 2025

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📜 License

This model is licensed under the SVECTOR Proprietary License.
For research or commercial use, please contact [email protected].

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🔗 Related

• 🌐 SVECTOR Official Website