| |
| |
| |
| |
| @@ -120,9 +120,19 @@ def calc_drop_extra_pre_encoded(asr_model, step_num, pad_and_drop_preencoded): |
| |
| |
| def perform_streaming( |
| - asr_model, streaming_buffer, compare_vs_offline=False, debug_mode=False, pad_and_drop_preencoded=False |
| + asr_model, |
| + streaming_buffer, |
| + compare_vs_offline=False, |
| + debug_mode=False, |
| + pad_and_drop_preencoded=False, |
| + target_lang=None, |
| ): |
| batch_size = len(streaming_buffer.streams_length) |
| + |
| + lang_ids = None |
| + if target_lang is not None: |
| + lang_ids = [target_lang] * batch_size |
| + |
| if compare_vs_offline: |
| # would pass the whole audio at once through the model like offline mode in order to compare the results with the stremaing mode |
| # the output of the model in the offline and streaming mode should be exactly the same |
| @@ -141,6 +151,7 @@ def perform_streaming( |
| processed_signal=processed_signal, |
| processed_signal_length=processed_signal_length, |
| return_transcription=True, |
| + lang_ids=lang_ids, |
| ) |
| final_offline_tran = extract_transcriptions(transcribed_texts) |
| logging.info(f" Final offline transcriptions: {final_offline_tran}") |
| @@ -181,6 +192,7 @@ def perform_streaming( |
| asr_model, step_num, pad_and_drop_preencoded |
| ), |
| return_transcription=True, |
| + lang_ids=lang_ids, |
| ) |
| |
| if debug_mode: |
| @@ -276,6 +288,13 @@ def main(): |
| help="Selects the decoder for Hybrid ASR models which has both the CTC and RNNT decoder. Supported decoders are ['ctc', 'rnnt']", |
| ) |
| |
| + parser.add_argument( |
| + "--target_lang", |
| + type=str, |
| + default=None, |
| + help="Language ID for multilingual models, e.g. pa", |
| + ) |
| + |
| parser.add_argument( |
| "--att_context_size", |
| type=str, |
| @@ -376,7 +395,9 @@ def main(): |
| asr_model=asr_model, |
| streaming_buffer=streaming_buffer, |
| compare_vs_offline=args.compare_vs_offline, |
| + debug_mode=args.debug_mode, |
| pad_and_drop_preencoded=args.pad_and_drop_preencoded, |
| + target_lang=args.target_lang, |
| ) |
| else: |
| # stream audio files in a manifest file in batched mode |
| @@ -409,6 +430,7 @@ def main(): |
| compare_vs_offline=args.compare_vs_offline, |
| debug_mode=args.debug_mode, |
| pad_and_drop_preencoded=args.pad_and_drop_preencoded, |
| + target_lang=args.target_lang, |
| ) |
| all_streaming_tran.extend(streaming_tran) |
| if args.compare_vs_offline: |
| |
| |
| |
| |
| @@ -163,12 +163,34 @@ class EncDecHybridRNNTCTCModel(EncDecRNNTModel, ASRBPEMixin, InterCTCMixin): |
| self.ctc_decoder.unfreeze() |
| |
| def _transcribe_forward(self, batch: Any, trcfg: TranscribeConfig): |
| - |
| + |
| + # AI4Bharat multilingual GPU transcribe fix: |
| + # transcribe() dataloader yields CPU audio tensors even when model is CUDA. |
| + device = next(self.parameters()).device |
| + |
| + if isinstance(batch, tuple): |
| + batch = ( |
| + batch[0].to(device, non_blocking=True), |
| + batch[1].to(device, non_blocking=True), |
| + *batch[2:], |
| + ) |
| + elif isinstance(batch, list): |
| + batch = list(batch) |
| + batch[0] = batch[0].to(device, non_blocking=True) |
| + batch[1] = batch[1].to(device, non_blocking=True) |
| + else: |
| + raise TypeError(f"Unexpected transcribe batch type: {type(batch)}") |
| + |
| if self.cur_decoder == "rnnt": |
| return super()._transcribe_forward(batch, trcfg) |
| |
| # CTC Path |
| - encoded, encoded_len = self.forward(input_signal=batch[0], input_signal_length=batch[1]) |
| + input_signal = batch[0] |
| + input_signal_length = batch[1] |
| + encoded, encoded_len = self.forward( |
| + input_signal=input_signal, |
| + input_signal_length=input_signal_length, |
| + ) |
| if "multisoftmax" not in self.cfg.decoder: |
| language_ids = None |
| else: |
| |
| |
| |
| |
| @@ -584,6 +584,7 @@ class ASRModuleMixin(ASRAdapterModelMixin): |
| drop_extra_pre_encoded: int = None, |
| return_transcription: bool = True, |
| return_log_probs: bool = False, |
| + lang_ids: List[str] = None, # AI4Bharat multilingual streaming |
| ): |
| """ |
| It simulates a forward step with caching for streaming purposes. |
| @@ -689,6 +690,7 @@ class ASRModuleMixin(ASRAdapterModelMixin): |
| encoded_lengths=encoded_len, |
| return_hypotheses=True, |
| partial_hypotheses=previous_hypotheses, |
| + lang_ids=lang_ids, |
| ) |
| greedy_predictions = [hyp.y_sequence for hyp in best_hyp] |
| |
|
|
