Introduction Speech-to-text transcription is an important tool for mission analytics and many natural language processing tasks. In most cases, a language is manually preset before speech-to-text transcription can be applied. For scenarios where data is being aggregated in large quantities in various languages, automatic language detection capabilities would greatly streamline data processing. Novetta has developed a technique, Language Identification For Audio Spectrograms (LIFAS), that uses spectrograms of raw audio signals as input to a convolutional neural network (CNN) to be used for language identification. This approach requires minimal pre-processing, as raw audio signals are input into the neural network and…
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