type of update is not possible with the speaker independent acoustic model approach but also is less necessary assuming that the initial speaker independent models were trained on a representative speech database this reduces processing requirements by eliminating the acoustic update procedure and the need to update the model database on each call updates may be performed at intervals if necessary by repeating the initial enrollment procedure on spoken input data whether with or without the user 39 s awareness this invention can provide significant benefit to the telephone companies by greatly simplifying the task of providing network based speaker dependent speech recognition services for the telephone network the biggest problem posed when speaker dependent acoustic models are used is the sheer volume of data traffic involved in transporting those models this volume presents a significant problem because of the need for near real time access to the data in order to meet customer expectations as an example consider the provisioning of a voice driven speed dial list of 30 names with each name averaging 2 second in length if the recognition uses speaker dependent acoustic models the network must transport 4 608 000 bits of data to the speech recognizer handling that customer this is 30 phrases 2 second phrase 4800 words second and 16 bits word if the recognition uses speaker independent acoustic models as proposed in this invention the network must deliver 72 000 bits of data to the recognizer as discussed earlier even this load can be reduced if efficient coding schemes are utilized this substantially reduces the network data transfer required for call set up another advantage is that since.