Details

Autor(en) / Beteiligte

• Vincent, Emmanuel
• Barker, Jon
• Watanabe, Shinji
• Le Roux, Jonathan
• Nesta, Francesco
• Matassoni, Marco

Titel

The second 'chime' speech separation and recognition challenge: Datasets, tasks and baselines

Ist Teil von

• 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.126-130

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• Distant-microphone automatic speech recognition (ASR) remains a challenging goal in everyday environments involving multiple background sources and reverberation. This paper is intended to be a reference on the 2nd `CHiME' Challenge, an initiative designed to analyze and evaluate the performance of ASR systems in a real-world domestic environment. Two separate tracks have been proposed: a small-vocabulary task with small speaker movements and a medium-vocabulary task without speaker movements. We discuss the rationale for the challenge and provide a detailed description of the datasets, tasks and baseline performance results for each track.