12. An apparatus, comprising: a processor; a storage medium to receive and store custom voice fonts; and a text-to-speech (TTS) component operative on the processor to convert text to speech using one of the custom voice fonts at a request of a remote client; wherein a custom voice font is generated by: processing voice audio data received from a client to produce prosody labels by producing of linguistic prosody labels and pronunciation prosody labels from a text script corresponding to the voice audio data in a tagger module, and a rich script comprising of: pronunciation, part of speech, and a prosody event for each word in the text script; automatically verifying the voice audio data using the text script by determining a degree of matching between the voice audio data and a corresponding pronunciation in the xml based rich script, ordering sentences in the text script according to the degree of matching, and retaining a sentence having a degree of matching higher than a threshold where prosody and acoustic models are generated based on the training; and training the custom voice font from the verified voice audio data and rich script.
12. An apparatus, comprising: a processor; a storage medium to receive and store custom voice fonts; and a text-to-speech (TTS) component operative on the processor to convert text to speech using one of the custom voice fonts at a request of a remote client; wherein a custom voice font is generated by: processing voice audio data received from a client to produce prosody labels by producing of linguistic prosody labels and pronunciation prosody labels from a text script corresponding to the voice audio data in a tagger module, and a rich script comprising of: pronunciation, part of speech, and a prosody event for each word in the text script; automatically verifying the voice audio data using the text script by determining a degree of matching between the voice audio data and a corresponding pronunciation in the xml based rich script, ordering sentences in the text script according to the degree of matching, and retaining a sentence having a degree of matching higher than a threshold where prosody and acoustic models are generated based on the training; and training the custom voice font from the verified voice audio data and rich script. 13. The apparatus of claim 12 , comprising a customer participation component to receive ratings on the custom voice fonts from operators of remote clients.