A control method for speech interaction, comprising: collecting an audio signal; detecting a wake-up word in the audio signal according to different wake-up word detection methods based on a setting of the wake-up word, to obtain a wake-up word result, wherein the wake-up word comprises a target wake-up word and an ordinary wake-up word, and the setting of the wake-up word is a setting of a number of syllables and content of the target wake-up word and the ordinary wake-up word, the wake-up word result comprising a first confidence and a second confidence, the first confidence being a reliability that the audio signal comprises the target wake-up word, the second confidence being a reliability that the audio signal comprises the ordinary wake-up word; and playing a prompt tone if the first confidence fails to reach a first confidence threshold and if the second confidence reaches a second confidence threshold, or withholding the prompt tone from playing and executing a speech instruction in the audio signal if the first confidence reaches the first confidence threshold, wherein in a case that the number of syllables of the target wake-up word is the same as that of the ordinary wake-up word, and the content of the target wake-up word is different from that of the ordinary wake-up word, detecting the wake-up word in the audio signal comprises detecting respectively the target wake-up word and the ordinary wake-up word in the audio signal by employing at least one wake-up word detection model, and providing respectively the first confidence and the second confidence, and in a case that the number of syllables of the target wake-up word is less than that of the ordinary wake-up word, and the target wake-up word is a part of the ordinary wake-up word, detecting the wake-up word in the audio signal comprises: performing a primary detection on the target wake-up word in the audio signal by employing a wake-up word detection model to obtain a first detection result; performing a secondary detection on the target wake-up word within a set period after the primary detection to obtain a second detection result; and determining the first confidence and the second confidence based on the first detection result and the second detection result. collecting an audio signal; detecting a wake-up word in the audio signal according to different wake-up word detection methods based on a setting of the wake-up word, to obtain a wake-up word result, wherein the wake-up word comprises a target wake-up word and an ordinary wake-up word, and the setting of the wake-up word is a setting of a number of syllables and content of the target wake-up word and the ordinary wake-up word, the wake-up word result comprising a first confidence and a second confidence, the first confidence being a reliability that the audio signal comprises the target wake-up word, the second confidence being a reliability that the audio signal comprises the ordinary wake-up word; and playing a prompt tone if the first confidence fails to reach a first confidence threshold and if the second confidence reaches a second confidence threshold, or withholding the prompt tone from playing and executing a speech instruction in the audio signal if the first confidence reaches the first confidence threshold, wherein in a case that the number of syllables of the target wake-up word is the same as that of the ordinary wake-up word, and the content of the target wake-up word is different from that of the ordinary wake-up word, detecting the wake-up word in the audio signal comprises detecting respectively the target wake-up word and the ordinary wake-up word in the audio signal by employing at least one wake-up word detection model, and providing respectively the first confidence and the second confidence, and in a case that the number of syllables of the target wake-up word is less than that of the ordinary wake-up word, and the target wake-up word is a part of the ordinary wake-up word, detecting the wake-up word in the audio signal comprises: performing a primary detection on the target wake-up word in the audio signal by employing a wake-up word detection model to obtain a first detection result; performing a secondary detection on the target wake-up word within a set period after the primary detection to obtain a second detection result; and determining the first confidence and the second confidence based on the first detection result and the second detection result. performing a primary detection on the target wake-up word in the audio signal by employing a wake-up word detection model to obtain a first detection result; performing a secondary detection on the target wake-up word within a set period after the primary detection to obtain a second detection result; and determining the first confidence and the second confidence based on the first detection result and the second detection result.