10. A system for automated execution of computer software using intelligent speech recognition techniques, the system comprising: a server computing device configured to capture a bitstream containing a digitized voice segment from a remote device as a speech file, the digitized voice segment corresponding to speech submitted by a user of the remote device during a voice call; parse the bitstream to locate the digitized voice segment; adjust compression of the bitstream containing the digitized voice segment to enhance audio quality of the bitstream; analyze the speech file to convert the speech file into text and extract a set of keywords from the converted text; determine one or more computer software applications accessible to the client computing device; and select at least one of the computer software applications that include functionality responsive to the keywords, comprising: generating, using a sequenced bag-of-words processing model, an input vector comprising a sequence of numeric values, each value associated with a keyword and weighted according to a relative position of the keyword in the set of keywords, matching, using a K-Nearest Neighbor processing model, the input vector against a predefined set of vectors to determine one or more vectors that are similar to the input vector, identifying a label corresponding to each matched vector, wherein the label is associated with computer software functionality, and selecting one or more computer software applications that are associated with a most common label of the identified labels; and a client computing device coupled to the server computing device, the client computing device configured to display the extracted keywords in a user interface of a display device; and execute the functionality of the selected computer software applications that is responsive to the keywords.
10. A system for automated execution of computer software using intelligent speech recognition techniques, the system comprising: a server computing device configured to capture a bitstream containing a digitized voice segment from a remote device as a speech file, the digitized voice segment corresponding to speech submitted by a user of the remote device during a voice call; parse the bitstream to locate the digitized voice segment; adjust compression of the bitstream containing the digitized voice segment to enhance audio quality of the bitstream; analyze the speech file to convert the speech file into text and extract a set of keywords from the converted text; determine one or more computer software applications accessible to the client computing device; and select at least one of the computer software applications that include functionality responsive to the keywords, comprising: generating, using a sequenced bag-of-words processing model, an input vector comprising a sequence of numeric values, each value associated with a keyword and weighted according to a relative position of the keyword in the set of keywords, matching, using a K-Nearest Neighbor processing model, the input vector against a predefined set of vectors to determine one or more vectors that are similar to the input vector, identifying a label corresponding to each matched vector, wherein the label is associated with computer software functionality, and selecting one or more computer software applications that are associated with a most common label of the identified labels; and a client computing device coupled to the server computing device, the client computing device configured to display the extracted keywords in a user interface of a display device; and execute the functionality of the selected computer software applications that is responsive to the keywords. 16. The system of claim 10 , wherein extracting a set of keywords from the converted text comprises filtering the converted text to remove stopwords.