in this paper, we leverage the long range end-to-end scenarios envisioned for lunar and beyond voice conversations by allowing non-traditional additional processing delay for quasi-real-time voice conversations. The concept of improving the quality of end-to-end voice conversations for long delay environments is considered by utilizing Luby Transforms on the Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP) codec. In addition, this paper also examines the use of automated speech recognition software as a means of generating a quantifiable metric for speech intelligibility in the spirit of the Diagnostic Rhyme Test (DRT).
Intelligibility and Space-based Voice with Relaxed Delay Constraints
2008-03-01
349180 byte
Conference paper
Electronic Resource
English
Structure from Motion with Line Segments Under Relaxed Endpoint Constraints
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