diff --git a/src/nnet3/nnet-batch-compute.cc b/src/nnet3/nnet-batch-compute.cc
index 6db046796be..a4baceb2d7f 100644
--- a/src/nnet3/nnet-batch-compute.cc
+++ b/src/nnet3/nnet-batch-compute.cc
@@ -135,7 +135,7 @@ NnetBatchComputer::GetHighestPriorityComputation(
     int32 *minibatch_size_out,
     std::vector<NnetInferenceTask*> *tasks) {
   tasks->clear();
-  std::unique_lock<std::mutex>(mutex_);
+  std::unique_lock<std::mutex> lock(mutex_);
   MapType::iterator iter = tasks_.begin(), end = tasks_.end(),
       best_iter = tasks_.end();
   double highest_priority = -std::numeric_limits<double>::infinity();
diff --git a/src/nnet3/nnet-compute.h b/src/nnet3/nnet-compute.h
index 333ed3168b9..f96195ff146 100644
--- a/src/nnet3/nnet-compute.h
+++ b/src/nnet3/nnet-compute.h
@@ -119,7 +119,7 @@ class NnetComputer {
 
   // Version of GetOutput that calls Swap(), destroying the output stored inside
   // this object.  You should probably not use this if you plan to call
-  // Backward() on the same NnetComputer object, or it's a recurret
+  // Backward() on the same NnetComputer object, or it's a recurrent
   // computation-- it may lead to a crash.
   void GetOutputDestructive(const std::string &output_name,
                             CuMatrix<BaseFloat> *output);