facebookresearch/fairseq

Hybrid CTC/attention decode

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#5,015 opened on Mar 8, 2023

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enhancementhelp wantedneeds triage

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Description

🚀 Feature Request

Hybrid CTC/attention decode is needed in asr task.

Motivation

Hybrid CTC/attention has achieve impressive results is speech recognition. However, i do not find the relevant feature in fairseq, especially when decoding. Paper: Hybrid CTC/attention architecture for end-to-end speech recognition

Pitch

User can easily adopt the hybrid CTC/attention decode.

Contributor guide

Research direction
Study the paper on hybrid CTC/attention ASR decoding, then implement the decoder in fairseq.
Tech stack
pythonpytorch
Domain
machine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Needs investigation
Prerequisites
PythonPyTorchASR
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30