Benchmark the CTC against a RNN-Transducer model

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Description

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Contributor guide

Research direction

Set up DeepSpeech development environment. Understand the CTC and RNN Transducer models. Create benchmark scripts to measure training time, inference speed, accuracy on common datasets. Compare results and document findings.

Tech stack

pythontensorflow

Domain

machine learningaiperformance

Issue type

Research

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

4

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

3-5 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

Deep Learning conceptsPythonTensorFlowSpeech recognition basics

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

30