Switchboard 300h

The 'Switchboard 300h' dataset is a collection of conversational telephone speech used to evaluate automatic speech recognition (ASR) models.

Papers using Switchboard 300h (6)

Right Label Context in End-to-End Training of Time-Synchronous ASR Models2025Conformer-based Hybrid ASR System for Switchboard Dataset2021Improving the Training Recipe for a Robust Conformer-based Hybrid Model2022Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think2023One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model2024Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality2024