![]() Consider the following sizes of vocabulary for a better understanding.Ī small size vocabulary consists of 2-100 words, for example, as in a voice-menu systemĪ medium size vocabulary consists of several 100s to 1,000s of words, for example, as in a database-retrieval taskĪ large size vocabulary consists of several 10,000s of words, as in a general dictation task. Size of the vocabulary − Size of the vocabulary impacts the ease of developing an ASR. These factors also should be considered for recognition systems. Also, the distance between mouth and micro-phone can vary. Microphone characteristics − The quality of microphone may be good, average, or below average.If the signal to noise ratio is lesser than 10dB, it is considered as low range.If the signal to noise ratio lies between 30dB to 10db, it is considered as medium SNR.If the signal to noise ratio is greater than 30dB, it is considered as high range.Signal to noise ratio may be in various ranges, depending on the acoustic environment that observes less versus more background noise − ![]() Type of noise − Noise is another factor to consider while developing an ASR.A speaker independent is the hardest to build. Speaker dependency − Speech can be speaker dependent, speaker adaptive, or speaker independent.Speaking style − A read speech may be in a formal style, or spontaneous and conversational with casual style.Note that a continuous speech is harder to recognize. Speaking mode − Ease of developing an ASR also depends on the speaking mode, that is whether the speech is in isolated word mode, or connected word mode, or in a continuous speech mode.For example, human speech contains high bandwidth with full frequency range, while a telephone speech consists of low bandwidth with limited frequency range. ![]()
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