Zen3 Audio
Collection
Speech recognition + text-to-speech. • 7 items • Updated
How to use zenlm/zen-3-asr-aligner with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="zenlm/zen-3-asr-aligner") # Load model directly
from transformers import AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("zenlm/zen-3-asr-aligner", dtype="auto")Forced-alignment companion to Zen3 ASR. Produces word- and phoneme-level time alignments for transcripts, enabling subtitle sync, dataset curation, and dubbing workflows in the Zen3 audio family.
Served at api.hanzo.ai as zen3-asr-aligner.
Mirror staging in progress. Use the canonical base via the base_model link in frontmatter until weights land here.
Built on Qwen/Qwen3-ForcedAligner-0.6B (Apache-2.0). Mirrored here for the Zen3 audio family.
Base model
Qwen/Qwen3-ForcedAligner-0.6B