For noisy audio content in various scenarios, our system not only reduces noise and extracts content but also maximizes the recognition of timbre, environmental scenes, and other audio information, striving to restore the original audio as much as possible.
Leveraging numerous years of risk control expertise and the robust product capabilities of Tianjing, we offer a combined recognition of "content + information" for audio, achieving a dual-enhancement in recognition capabilities.
Accurately identifies different voice tones such as young boys, mature men, and young girls.
Accurately detects whether the audio corresponds to male or female characteristics.
Precisely recognizes various languages, including Mandarin, English, Tibetan, Uyghur, Korean, and other ethnic languages.
Accurately identifies different age groups in audio, such as children, youth, middle-aged, and elderly.
Precisely identifies different audio contexts, such as movies, singing, and other scenarios.
Accurately detects whether the audio is deep synthetic, such as TTS (text-to-speech) synthesis or voice changers.
With flexible and robust machine learning capabilities, we provide tailored audio recognition functions and services for various industries.
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