Sound Detection/Recognition

Sound detection and recognition for non-speech signals, such as music, natural sound and human non-speech sound (coughing, crying, laughing, sneezing, ...), has found rapidly increasing applications in many fields including military, security, environment, and robots/toys.

As examples, under a contract with SONY, CYBIT had successfully developed a new technology, audio pattern matching, for automatic audio quality control during mass production of Blu-ray disc players. Recently, CYBIT has also developed a unique technology for human sound detection/recognition for a customer's toy product.

Speech Recognition

Under many hands-busy and eyes-busy conditions, voice command using speech recognition provdes the best means for human-machine interface. SR is a language independent speech recognition technology, as it can be used for any language. SR applies to 4-kHz telephone-bandwidth speech input (with 8-kHz sample rate) for low-cost implemenattion. For applications that require higher recognition accuracy, SR can be easily extended for wider-bandwidth speech input (such as 7-kHz or higher) for further enhanced recognition performance.

FEATURES

• Applicable to all languages.
• Accurate recognition of short to long utterances: sentences, phrases, digits, English alphabet (A-Z).
• Minimal training for new speakers: TWO utterances for each speech template (more training is better but two are sufficient).
• Flexible vocabulary size depending on applications.
• Input format: 16 bit/sample linear PCM, 8-kHz sample rate.

PERFORMANCE

• Recognition Accuracy: tested under quiet condition - digit (99.7%), phrase (99%, size of 20), A-Z (90%).
• Field Test: tested under driving conditions on highways and local roads - at 35 mph: 98% accuracy for spoken phrases; at 60 mph: 95% accuracy for spoken phrases.