Abstract: This disclosure describes techniques for generating a conversation summary. The techniques may include processing at least one statement indication of the conversation to determine at least one statement that is a candidate highlight of the conversation. The techniques may further include applying linguistic filtering rules to the candidate highlight to determine the candidate highlight is an actual highlight. The techniques may further include generating the conversation summary including providing the actual highlight as at least a portion of the conversation summary.

Abstract: This disclosure describes techniques for generating a conversation summary. The techniques may include processing at least one statement indication of the conversation to determine at least one statement that is a candidate highlight of the conversation. The techniques may further include applying linguistic filtering rules to the candidate highlight to determine the candidate highlight is an actual highlight. The techniques may further include generating the conversation summary including providing the actual highlight as at least a portion of the conversation summary.

Abstract: Systems, methods, and computer-readable media for correcting transcriptions created through automatic speech recognition. A transcription of speech created using an automatic speech recognition system can be received. One or more domain-specific contexts associated with the speech can be identified and a text span that includes a mistranscribed entry can be recognized from the speech based on the one or more domain-specific contexts. Additionally, features can be extracted from the mistranscribed entry and the extracted features can be matched against an index of domain-specific entries to identify a correct entry of the mistranscribed entry. Subsequently, the transcription can be corrected by replacing with the mistranscribed entry with the correct entry.

Abstract: Systems, methods, and computer-readable media for correcting transcriptions created through automatic speech recognition. A transcription of speech created using an automatic speech recognition system can be received. One or more domain-specific contexts associated with the speech can be identified and a text span that includes a mistranscribed entry can be recognized from the speech based on the one or more domain-specific contexts. Additionally, features can be extracted from the mistranscribed entry and the extracted features can be matched against an index of domain-specific entries to identify a correct entry of the mistranscribed entry. Subsequently, the transcription can be corrected by replacing with the mistranscribed entry with the correct entry.

Abstract: This disclosure describes techniques for generating a conversation summary. The techniques may include processing at least one statement indication of the conversation to determine at least one statement that is a candidate highlight of the conversation. The techniques may further include applying linguistic filtering rules to the candidate highlight to determine the candidate highlight is an actual highlight. The techniques may further include generating the conversation summary including providing the actual highlight as at least a portion of the conversation summary.

Abstract: Systems, methods, and computer-readable media for correcting transcriptions created through automatic speech recognition. A transcription of speech created using an automatic speech recognition system can be received. One or more domain-specific contexts associated with the speech can be identified and a text span that includes a mistranscribed entry can be recognized from the speech based on the one or more domain-specific contexts. Additionally, features can be extracted from the mistranscribed entry and the extracted features can be matched against an index of domain-specific entries to identify a correct entry of the mistranscribed entry. Subsequently, the transcription can be corrected by replacing with the mistranscribed entry with the correct entry.