In　this　paper,　an　effective　packet　loss　concealment　(PLC)　method　based　on　the　simplified　residual　network　is　proposed,　which　includes　two　stages,　i.e.,　residual　network　training　(RNT)　and　PLC.　In　the　RNT　stage,　input　feature　of　residual　network　comes　from　the　decoded　speech　signal　of　previous　N　frames,　whereas　output　feature　of　residual　network　is　the　decoded　speech　signal　of　current　frame.　The　residual　network　is　used　to　learn　speech　waveform　in　time-domain.　In　the　PLC　stage,　if　there　is　no　packet　loss　in　some　frame,　the　characteristic　parameters　of　this　frame　are　decoded　normally　and　sent　to　the　buffer　for　standby.　If　packet　loss　happened　in　this　frame,　the　speech　signals　of　previous　N　frames　contained　in　the　buffer　and　the　well-trained　residual　network　are　used　to　predict　the　lost　speech　signal　of　this　frame.　Experimental　results　show　that　the　proposed　PLC　method　outperforms　the　state-of-the-art　method.