Speech recognition module is an embedded language recognition module that converts words in human speech into computer-readable form and communicates with the main chip. The speech module is embedded in smart products, enabling human-machine speech interaction.
Speech recognition consists of two stages: training stage and recognition stage. The training stage requires a large amount of speech data collection, and speech parameters are extracted through processing to establish a speech reference library. The recognition stage compares the output language parameters with the reference models in the reference library for similarity, and extracts the speech with the highest similarity as the recognition result output, thus achieving the goal of speech recognition.
There are mainly two ways to implement speech recognition modules: one is to use speech development kits in embedded software, and the other is to use peripheral extension speech chips. The first method has a longer development cycle and is more complex to handle, while the second method is relatively simple to operate, easy to set up, and has a shorter development cycle. Typical speech recognition modules include: controller templates, speech recognition modules, speakers, microphones, and playback modules.
Can be embedded in toys to achieve intelligent voice control. Quick remote control. Using microphone array, expansion chip, voice recognition engine to achieve human-computer interaction.