Issue Description
During the utilization of the Speech to Text 7.x API, English transcription results may truncate or appear incomplete. For instance, a continuous spoken phrase might be transcribed with its trailing words entirely omitted, rendering only the initial segment of the sentence. This data loss is isolated to English processing streams and does not manifest during Chinese speech recognition sessions.
Platform/SDK
Provider: Soniox ASR
Environment: Application integration layers handling raw transcription outputs
Root Cause
The data loss originates from an incomplete text assembly logic on the client integration side when handling the Soniox recognition stream. The application logic strictly filters and outputs only the text payloads marked with the final: true flag.
Because the streaming recognition engine continuously transmits intermediate text segments prior to finalizing a sentence, failing to aggregate these intermediate partial results causes the application to drop valid speech data. The final rendering only reflects the exact boundary of the final chunk, completely discarding the preceding conversational context.
Step-by-Step Solution
Update Transcription Assembly Logic
The application layer receiving the transcription stream must be modified to handle continuous data streams rather than discrete final messages. The logic must capture and store intermediate payloads in a memory buffer rather than discarding them.
Merge Partial Recognition Segments
Implement a continuous string concatenation sequence. The assembly process must seamlessly merge all incoming partial recognition segments. The integration cannot rely exclusively on entries marked with the
final: truestate flag to construct the final visual transcript.Maintain Sentence Integrity via Punctuation
To ensure the generated text remains coherent, introduce logical separation triggers strictly at punctuation marks such as commas or periods. Flushing the text buffer only upon receiving a definitive punctuation boundary ensures that the sentence integrity is maintained and no transcription data is lost during the rendering phase.
Best Practice
By adjusting the application logic to aggregate partial segments instead of relying solely on final flags, the complete English transcription text renders accurately without missing words. Systems dealing with real time speech streams must always buffer intermediate results to guarantee absolute transcription fidelity.