Merge pull request #199 from alibaba-damo-academy/dev_xw

zhifu gao

2023-03-16 d783b24ba7d8a03dabfa2139fcbf40c216e0ea3d

 funasr/bin/vad_inference_online.py

@@ -96,7 +96,7 @@
            }
            # a. To device
            batch = to_device(batch, device=self.device)
            segments, in_cache = self.vad_model(**batch)
            segments, in_cache = self.vad_model.forward_online(**batch)
            # in_cache.update(batch['in_cache'])
            # in_cache = {key: value for key, value in batch['in_cache'].items()}
        return fbanks, segments, in_cache
@@ -236,12 +236,13 @@
            # param_dict['in_cache'] = batch['in_cache']
            if results:
                for i, _ in enumerate(keys):
                    results[i] = json.dumps(results[i])
                    item = {'key': keys[i], 'value': results[i]}
                    vad_results.append(item)
                    if writer is not None:
                        results[i] = json.loads(results[i])
                        ibest_writer["text"][keys[i]] = "{}".format(results[i])
                    if results[i]:
                        results[i] = json.dumps(results[i])
                        item = {'key': keys[i], 'value': results[i]}
                        vad_results.append(item)
                        if writer is not None:
                            results[i] = json.loads(results[i])
                            ibest_writer["text"][keys[i]] = "{}".format(results[i])

        return vad_results