Abstract: Systems and processes for operating an intelligent automated assistant to provide media items based on phonetic matching techniques are provided. An example method includes receiving a speech input from a user and determining whether the speech input includes a user request for a media item. The method further includes, in accordance with a determination that the speech input includes a user request for obtaining a media item, determining a candidate media item from a plurality of media items. The method further includes determining, based on a difference between a phonetic representation of the candidate media item and a phonetic representation of the speech input, whether the candidate media item is to be provided to the user. The method further includes, in accordance with a determination that the candidate media item is to be provided to the user, providing the candidate media item to the user.

Abstract: Systems and processes for operating an intelligent automated assistant to provide media items based on phonetic matching techniques are provided. An example method includes receiving a speech input from a user and determining whether the speech input includes a user request for a media item. The method further includes, in accordance with a determination that the speech input includes a user request for obtaining a media item, determining a candidate media item from a plurality of media items. The method further includes determining, based on a difference between a phonetic representation of the candidate media item and a phonetic representation of the speech input, whether the candidate media item is to be provided to the user. The method further includes, in accordance with a determination that the candidate media item is to be provided to the user, providing the candidate media item to the user.

Abstract: Methods for processing audio data containing speech to produce a searchable index file and for subsequently searching such an index file are provided. The processing method uses a phonetic approach and models each frame of the audio data with a set of reference phones. A score for each of the reference phones, representing the difference of the audio from the phone model, is stored in the searchable data file for each of the phones in the reference set. A consequence of storing information regarding each of the reference phones is that the accuracy of searches carried out on the index file is not compromised by the rejection of information about particular phones. A subsequent search method is also provided which uses a simple and efficient dynamic programming search to locate instances of a search term in the audio. The methods of the present invention have particular application to the field of audio data mining.