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However, embedded speech recognition only authorizes few KB of memory, few MIPS, and small amount of training data.
The performance and acoustic adaptation of the proposed approaches are investigated in various conditions within the general scheme of embedded speech recognition systems.
A false-positive error (FPE) involves declaring a non-embedded speech signal as an embedded one, whereas a false-negative error (FNE) involves classifying an embedded speech signal as a non-embedded one.
SpeechWorks, a software company in Boston, has also developed a few embedded speech systems for hand-held computers, said Mike Phillips, the company's chief technology officer.
These podcast formats included a typed transcription, a full audio recording, a full video recording, presentation slides with embedded speech etc.
Embedded speech processing has been largely investigated in the two last decades, both on industrial and research aspects.
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In spite of the recent advances in hardware technology, light mobile devices are not able to carry such complexity, and embedded speech-based functionalities have to be limited in order to satisfy the cost and hardware limits.
Research on embedding speech processing systems on small devices has been active for a long time.
Similar results were observed for listeners presented with a fragment of time-reversed speech embedded in normal speech (Wood & Cowan, 1995b).
Their responses are summarized below: A. Speech input All participants had used the embedded input speech services in their devices.
Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information embedded in speech signals.
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