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StreamSpeech

ictnlp/StreamSpeech

All-in-one speech recognition and synthesis model for offline and simultaneous processing

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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1.3k stars105 forksLast push Jun 29, 2025 Python MIT

Decision brief

StreamSpeech offers an all-in-one solution for offline and simultaneous speech recognition, translation, and synthesis in Python, utilizing PyTorch.

Good fit when

Use StreamSpeech when you need a compact model that can handle speech recognition, translation, and synthesis simultaneously without relying on online services.
Utilize this tool if your project requires non-autoregressive processing for efficient real-time applications, like live transcription or voice-to-voice translation.

Avoid when

Do not use StreamSpeech in scenarios where online connectivity is required due to its offline processing nature.
Avoid it when the target application demands autoregressive models, as StreamSpeech focuses on non-autoregressive techniques which might offer different performance characteristics.

Observed Jul 14, 2026 · Source: enrich:decision_facts

StreamSpeech alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (448d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install StreamSpeech

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

StreamSpeech offers seamless integration of speech recognition, translation, and synthesis capabilities.

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

- Python == 3.10, PyTorch == 2.0.1, Install fairseq & SimulEval

Tags

all-in-one asr machine-translation speech recognition speech-synthesis speech-translation tts

README

⚙Requirements Python == 3.10, PyTorch == 2.0.1, Install fairseq & SimulEval

For agents

This page has a .md twin and JSON over the API.

/tools/ictnlp-streamspeech.md GET /api/graphcanon/tools/ictnlp-streamspeech GET /api/graphcanon/graph?tool=ictnlp-streamspeech

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