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A Review of Large-Vocabulary Continuous-Speech Recognition
Oleh:
Young, Steve
Jenis:
Article from Bulletin/Magazine
Dalam koleksi:
IEEE Signal Processing Magazine vol. 13 no. 5 (1996)
,
page 45-57.
Topik:
VOCABULARY
;
vocabulary
;
continuous - speech
;
recognition
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
SS26.1
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
Considerable progress has been made in speech - recognition technology and nowhere has this progress been more evident than in the area of large - vocabulary recognition (LVR). Laboratory systems are capable of transcribing continuous speech from any speaker with average word-error rates between 5 % and 10 %. If speaker adaptation is allowed, then after 2 or 3 minutes of speech, the error rate will drop well below 5 % for most speakers. LVR systems had been limited to dictation applications since the systems were speaker dependent and required words to be spoken with a short pause between them. However, the capability to recognize natural continuous - speech input from any speaker opens up many more applications. This article discusses the principles and architecture of LVR systems and identifies the key issues affecting their future deployment. To illustrate the various points raised, the Cambridge University HTK system is described. This system is a modern design that gives state - of - the - art performance, and it is typical of the current generation of recognition systems.
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