Abstract:
A voice quality evaluation method, apparatus, and system comprises an obtained voice data packet is parsed, and a frame content characteristic of the data packet is determined according to a parse result, for example, the frame content characteristic is a silence frame and a voice frame. Then, a voice sequence is divided into statements according to the determined frame content characteristic, and the statements are divided into multiple frame loss events; after non-voice parameters are extracted according to the frame loss events, voice quality of each statement is evaluated according to a preset voice quality evaluation model and according to the non-voice parameters. Finally, voice quality of the entire voice sequence is evaluated according to the voice quality of each statement. By using this solution, prediction precision can be improved significantly, and accuracy of an evaluation result can be improved.
Abstract:
A voice quality evaluation method and apparatus are disclosed. The method includes determining a first voice quality of a to-be-evaluated voice signal by performing processing and an analysis on the to-be-evaluated voice signal, where the first voice quality includes a quality distortion value and/or a mean opinion score (MOS) value; and determining a voice quality evaluation result of the to-be-evaluated voice signal according to the first voice quality and at least one key performance indicator (KPI) parameter of a transmission channel of the to-be-evaluated voice signal. According to the voice quality evaluation method and apparatus in embodiments of the present disclosure, a voice quality of the to-be-evaluated voice signal is determined using the to-be-evaluated voice signal and the KPI parameter of the transmission channel of the to-be-evaluated voice signal, which can improve accuracy of voice quality evaluation.
Abstract:
A voice quality monitoring method and apparatus are provided, which solves a difficult problem of how to perform proper voice quality monitoring on a relatively long audio signal by using relatively low costs. The method includes capturing one or more voice signal segments from an input signal; performing voice segment segmentation on each voice signal segment to obtain one or more voice segments; and performing a voice quality evaluation on the voice segment to obtain a quality evaluation result according to the voice quality evaluation. Because the segmented voice segment includes only a voice signal and is shorter than the input signal, proper voice quality monitoring can be performed on a relatively long audio signal by using relatively low costs, thereby obtaining a more accurate voice quality evaluation result.
Abstract:
A method for voice call fallback to a circuit switched (CS) domain disclosed in the present invention includes: receiving a Service Request message from a calling user equipment (UE), where the Service Request message includes called number information of a voice call in a CS domain, instructing an evolved NodeB (eNB) to initiate circuit switched fallback (CSFB) handover; receiving a Handover Request message from the eNB, where the Handover Request message includes information required for CS handover, selecting a mobile switching center (MSC) and sending a packet switched (PS) to CS Handover Request message to the MSC, where the PS to CS Handover Request message carries information required for the CS handover and a called number so that the MSC calls a called UE. The corresponding apparatuses and systems are also disclosed. The technical solution of the present invention can reduce the connection delay.