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The SWITCHBOARD (SWB) corpus is one of the most important benchmarks for recognition tasks involving large vocabulary conversational speech (LVCSR). The high error rates on SWB are largely attributable to an acoustic model mismatch, the high frequency of poorly articulated monosyllabic words, and large variations in pronunciations. It is imperative to(More)
2 Speaker-independent speech recognition technology has made significant progress from the days of isolated word recognition. Today, state-of-the-art systems are capable of performing large vocabulary continuous speech recognition (LVCSR) on audio streams derived from complex information sources such as broadcast news and two-way telephone dialogs. A(More)
The lack of freely available state-of-the-art Speech-to-Text (STT) software has been a major hindrance to the development of new audio information processing technology. The high cost of the infrastructure required to conduct state-of-the-art speech recognition research prevents many small research groups from evaluating new ideas on large-scale tasks. In(More)
It is a well-established fact that human performance exceeds that of computers by orders of magnitude on a wide range of speech recognition tasks. However, there is widespread belief that the gap between human and machine performance has narrowed considerably on restricted problems. Yet, there are few extensive comparisons of performance on tasks involving(More)
Accurate recognition of proper nouns is a critical component of automatic speech recognition (ASR). Since there are no obvious letter-to-sound conversion rules that govern the pronunciation of any large set of proper nouns, this is an open-ended problem that evolves constantly under various sociolinguistic influences. A Boltzmann machine neural network is(More)
The high cost of the infrastructure required to conduct state-of-the-art speech recognition research prevents many small research groups from evaluating new ideas on large-scale tasks. To overcome this barrier, we are developing an Internet-based speech-to-text (STT) toolkit. In this paper, we present the core component of this system: a decoder that uses a(More)
Several wild indigenous fruit crops which are rare in other part of the world grow favourably and naturally in the foothills track of Eastern Himalayas due to suitable geo-climatic conditions. These wild fruits are Padus napaulensis (Ser. ex DC.) Schneider, Elaeagnus latifolia L., Myrica esculenta Buch.-Ham. ex D. Don, Baccaurea ramiflora Lour., Pyrus(More)