PATENT CLAIM ANALYSIS

Application Number: 15883240
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["704", "246000"]

Abstract:
A voice interaction apparatus incudes voice recognition means for recognizing a voice of a user, response-sentence generation means for generating a response sentence to the voice of the user based on the recognized voice, filler generation means for generating a filler word to be inserted in a conversation, output means for outputting the generated response sentence and the generated filler word, and classification means for classifying the generated response sentence into one of predetermined speech patterns indicating predefined speech types. When the output means outputs, after the user utters a voice subsequent to the first response sentence, the filler word and outputs a second response sentence, the classification means classifies the first response sentence into one of the speech patterns, and the filler generation means generates the filler word based on the speech pattern into which the first response sentence has been classified.

Claim (Index 3):
The voice interaction apparatus according to  claim 2 , wherein the information about the type of the feature value includes at least one of prosodic information of the preceding speech, linguistic information of the preceding speech, linguistic information of the subsequent speech, and prosodic information of the subsequent speech.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.63793
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15841608', '14826280', '15797411', '10911675', '11344163']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2635022151661246
- 35 USC 102 Novelty (BERT): 0.5105516032833458
- Combined Prediction Score: 0.2882071539778467
- Mean Citation Score: 229.778312
- Max Citation Score: 272.05212
- Similarity Product: 201.4916239572429

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test