A training procedure for isolated word recognition systems
نویسندگان
چکیده
منابع مشابه
An embedded word training procedure for connected digit recognition
The "conventional" way of obtaining word reference patterns for connected word recognition systems is to use isolatàd word patterns, and to rely on the dynamics of the matching algorithm to account for the differences in connected speech. Connected word recognition, based on such an approach, tends to become unreliable (high error rates) when the talking rate becomes grossly incommensurate with...
متن کاملLarge vocabulary speaker independent isolated word recognition for embedded systems
In this paper the implementation of a word-stem based tree search for large vocabulary speaker independent isolated word recognition for embedded systems is presented. Two fast search algorithms combine the effectiveness of the tree structure for large vocabularies and the fast Viterbi search within the regular structures of word-stems. The algorithms are proved to be very effective for worksta...
متن کاملIsolated Word Recognition
The technique of dynamic time warping (DTW) is relied on heavily in isolated word recognition systems. The advantage of using DTW is that reliable time alignment between reference and test patterns is obtained. The disadvantage of using DTW is the heavy computational burden required to find the optimal time alignment path. Several alternative procedures have been proposed for reducing the compu...
متن کاملSignal modeling for isolated word recognition
This paper presents speech signal modeling techniques which are well suited to high performance and robust isolated word recognition. Speech is encoded by a discrete cosine transform of its spectra, after several preprocessing steps. Temporal information is then also explicitly encoded into the feature set. We present a new technique for incorporating this temporal information as a function of ...
متن کاملMultilevel discriminative training for spelled word recognition
Discriminative training is effective in enhancing robustness for recognition tasks characterized by high confusion rates. In this paper, we apply discriminative training to different components of a spelled word recognizer to improve recognition accuracy among confusable letters. First we weighted the HMM states to emphasize the letters’ discriminant part. The training achieved a 17% decrease i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Acoustics, Speech, and Signal Processing
سال: 1980
ISSN: 0096-3518
DOI: 10.1109/tassp.1980.1163393