Syllable-based relevance feedback techniques for Mandarin voice record retrieval using speech queries.
Lin-Shan LeeBo-Ren BaiLee-Feng ChienPublished in: ICASSP (1997)
Keyphrases
- relevance feedback
- prosodic features
- speech recognition errors
- spoken document retrieval
- retrieval process
- text to speech
- speech synthesis
- speech recognition
- speaker verification
- emotion recognition
- retrieval model
- synthesized speech
- test collection
- feedback information
- retrieved images
- image retrieval
- initial query
- query expansion
- information retrieval systems
- relevance judgments
- retrieval systems
- information retrieval
- probabilistic retrieval model
- web retrieval
- relevant images
- document retrieval
- query refinement
- retrieval accuracy
- retrieval precision
- retrieval framework
- broadcast news
- user feedback
- cbir systems
- language model
- out of vocabulary
- retrieval quality
- n gram
- database
- query processing
- relevance model
- original query
- query terms
- relevant documents
- user queries
- cross language
- retrieval effectiveness
- interactive search
- search sessions
- trec collections
- spontaneous speech
- query formulation
- image database
- query logs
- sparck jones
- active learning
- web search engines
- range queries
- pseudo relevance feedback
- search engine
- image search
- retrieval strategies
- boolean queries
- audio visual
- automatic speech recognition
- speaker independent
- average precision
- retrieval scheme
- text retrieval
- search tasks
- multimedia databases
- document collections
- improve retrieval effectiveness
- indexing techniques
- retrieval method
- voice activity detection
- retrieved documents