Clink et al., 2021 - Google Patents
Unsupervised acoustic classification of individual gibbon females and the implications for passive acoustic monitoringClink et al., 2021
View PDF- Document ID
- 14776057433455842325
- Author
- Clink D
- Klinck H
- Publication year
- Publication venue
- Methods in Ecology and Evolution
External Links
Snippet
Passive acoustic monitoring (PAM) has the potential to greatly improve our ability to monitor cryptic yet vocal animals. Advances in automated signal detection have increased the scope of PAM, but distinguishing between individuals—which is necessary for density estimation …
- 241000282620 Hylobates sp. 0 title abstract description 29
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
- G06N5/025—Extracting rules from data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0241—Advertisement
- G06Q30/0251—Targeted advertisement
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/065—Adaptation
- G10L15/07—Adaptation to the speaker
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Clink et al. | Unsupervised acoustic classification of individual gibbon females and the implications for passive acoustic monitoring | |
Stowell et al. | Automatic acoustic detection of birds through deep learning: the first bird audio detection challenge | |
Bergler et al. | ORCA-SPOT: An automatic killer whale sound detection toolkit using deep learning | |
Knight et al. | Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs | |
Ruff et al. | Automated identification of avian vocalizations with deep convolutional neural networks | |
Heinicke et al. | Assessing the performance of a semi‐automated acoustic monitoring system for primates | |
Dufourq et al. | Automated detection of Hainan gibbon calls for passive acoustic monitoring | |
Salamon et al. | Towards the automatic classification of avian flight calls for bioacoustic monitoring | |
Fischer et al. | Structural variability and communicative complexity in acoustic communication | |
Potamitis | Automatic classification of a taxon-rich community recorded in the wild | |
Clink et al. | Application of a semi-automated vocal fingerprinting approach to monitor Bornean gibbon females in an experimentally fragmented landscape in Sabah, Malaysia | |
Clink et al. | Investigating individual vocal signatures and small-scale patterns of geographic variation in female Bornean gibbon (Hylobates muelleri) great calls | |
Clink et al. | Vocal individuality and rhythm in male and female duet contributions of a nonhuman primate | |
Bonet-Solà et al. | A comparative survey of feature extraction and machine learning methods in diverse acoustic environments | |
Keen et al. | A machine learning approach for classifying and quantifying acoustic diversity | |
Priyadarshani et al. | Wavelet filters for automated recognition of birdsong in long‐time field recordings | |
Xie et al. | Frog call classification: a survey | |
Thomas et al. | A practical guide for generating unsupervised, spectrogram‐based latent space representations of animal vocalizations | |
Clink et al. | Brevity is not a universal in animal communication: evidence for compression depends on the unit of analysis in small ape vocalizations | |
Mcloughlin et al. | Using agent-based models to understand the role of individuals in the song evolution of humpback whales (Megaptera novaeangliae) | |
Knight et al. | Validation prediction: a flexible protocol to increase efficiency of automated acoustic processing for wildlife research | |
Bergler et al. | ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning | |
Wang et al. | Automated call detection for acoustic surveys with structured calls of varying length | |
Wood et al. | Pairing a user‐friendly machine‐learning animal sound detector with passive acoustic surveys for occupancy modeling of an endangered primate | |
Albornoz et al. | Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning |