A two-level Item Response Theory model to evaluate speech synthesis and recognition

Automatic speech recognition (ASR) systems should be tested ideally using diverse speech test data. A promising alternative to produce such test data is to synthesize speeches from diverse sentences and speakers. However, despite the great amount of test data that can be produced, not all speeches a...

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Veröffentlicht in:	Speech communication 2022-02, Vol.137, p.19-34
Hauptverfasser:	Oliveira, Chaina S., Moraes, João V.C., Filho, Telmo Silva, Prudêncio, Ricardo B.C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic speech recognition Item Response Theory Sentences Speech quality measurement Speech recognition Speech recognition evaluation Speech synthesis Speech synthesis evaluation Speech tests Speeches Synthesis Systems analysis Transcription Voice recognition
Online-Zugang:	Volltext
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